775 Econometrics Jobs - Page 11

Senior Applied Scientist Hyderabad, Telangana, India + 1 more location Date posted Jul 10, 2025 Job number 1822320 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview How would you like to directly affect the lives of billions of humans? Would you like to be responsible for models and code running across tens of thousands of machines across datacenters around the world? What if you could multiply your impact by making developers around the world better? If you like building highly motivated and productive teams, we have got interesting opportunities for you. Who we are Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and all productivity applications in M365. The team obsesses about powering workloads with AI and innovates on next generation engineering infrastructure, tooling using AI. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Senior Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models. The scientists focus on evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. About the Org: The M365 org plays a pivotal role in powering end user experiences (copilots and beyond) powered by highly relevant search capability leveraging M365 eco system. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of working in an AI research facility or working with software services / experiences infused with AI. Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus. Preferred Qualifications: Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Responsibilities You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Description:: Senior Data Analyst (C11) About us: Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: Data Management team manages the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support: Regulatory Support : Execution of business data quality measurements as per regulatory programs like CCAR, AML etc Metrics Design : Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules Data Governance : Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions. DQ Score cards : Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management Issue Management : Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support : Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL, Python (Added advantage) Proficient in MS Excel, PowerPoint and VBA Preferred - Domain Skills Good understanding of Data definitions and data discovery Data Lineage Data quality framework Process improvement experience pertains to compliance and data quality initiatives Hands on experience on KPI’s design, issue resolution and remediation activities Identification of control gaps and providing recommendations as per data strategy (Preferred) - Knowledge on Banking products and Finance Regulations Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process/project management skills Ability to work well across multiple functional areas Ability to thrive in a dynamic and fast-paced environment Educational and Experience: MBA / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 5 to 8 years of hands on experience in delivering data quality solutions, with at least 2 year’s experience in Banking Industry - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description:: Data Analyst (C10) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: Data Management team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support : Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design : Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance : Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management : Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support : Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL, Python (Added advantage) Proficient in MS Excel, PowerPoint Domain Skills Good understanding of Data definitions and Data Lineage Data Quality framework Data Warehouse Knowledge (Preferred) - Knowledge on Banking products and Finance Regulations Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year experience in Banking Industry - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client’s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients’ particular business information need(s). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client’s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client’s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What You’ll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Job Description:: Data Analyst (C10) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: Data Management team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL, Python (Added advantage) Proficient in MS Excel, PowerPoint Domain Skills Good understanding of Data definitions and Data Lineage Data Quality framework Data Warehouse Knowledge Soft Skills (Preferred) - Knowledge on Banking products and Finance Regulations Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year experience in Banking Industry ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Entity: Technology Job Family Group: IT&S Group Job Description: Let me tell you about the role The Manager, Geospatial Technology, will have expertise in technology, data, analytics, engineering and science solutions and projects in respect to location. They will lead a squad as part of the wider Geospatial team within Oil and Gas Technology gaining exposure to pioneering technologies and their real-world applications. They will interface closely with other Geospatial SMEs, Digital Product, and business partners to deploy and develop Geospatial technology, data & analytical solutions to meet business challenges across a wide range of domains including Production, Projects, Subsurface & Wells, Crisis, Renewables, and Refining. What you will deliver Team leadership and people management expectations: Provide direction to subordinates & other resources within the Geospatial Technology Team. Relevant experience in a Geospatial Technical Leadership role. Actively balance the workloads, priorities and important metrics of team members. Entitle team members to drive improvements to Geospatial products and solutions. Develops data expert capability within the team and identifies development opportunities Key technical capabilities and expectations: Develop innovative solutions and procedures and promote standard methodology to improve efficiency and quality within the geospatial team and across products. Geospatial Technology: experience in the use and deployment of geospatial technology including configuration and connectivity (eg. Cameras, Handhelds, AR/VR equipment, sensors, GPS, drone). Geospatial Data Management: use of spatial databases, spatial access methods, coordinate reference systems, representation of spatial objects, image processing, query processing, spatial data infrastructures, data manipulation, data security. Geospatial Analysis: Query operations and languages, earth geometry and geodesy, analytical operations, analysis of surfaces, spatial statistics, geo-statistics, spatial regression and econometrics, data mining, network analysis, optimization, and location allocation modeling. Spatial Data Visualization: including data considerations, principles of map design, graphic representation techniques, map production, development of web-based maps, applications, and dashboards. Reality capture: experience and knowledge of reality capture data formats, 3D models, QC workflows, loading techniques, and data integration for visualization and analysis. Ability to import, export and manipulate data between Geospatial systems and other applications, applying tools such as FME and Databricks. Expertise in one or more data-related technologies/languages (e.g. Python, R, Java Script, etc. Expertise in the ArcGIS Desktop and Enterprise suite of tools (ArcGIS Pro, Server, Portal and associated API’s). What you will need to be successful (experience and qualifications) Creating innovative solutions to improve process, workflow, standard methodology, and service delivery. Challenging conventional thinking, problem solving and innovating. Actively seeking to apply data science techniques; automation and machine learning, including the use of analytical and visualization tools to translate data and interpreted results into actionable insights and value. Citizenship: Engage in honest conversations and encourage team members to ask questions and actively listen to concerns; you are inclusive & collect diverse set of opinions and ideas, seeking out the silent voice; You use your own skills & experience to upskill others. Understand how your work with data impacts bp with respect to safety, financials, or other high value impacts. Identify continuous improvement opportunities to create safer operations, reduce cost, or other opportunities with data. Autonomy in problem identification and problem breakdown: end-to-end project ownership: Independently identify problems to be solved in your team / sub-area because of in-depth technical and business understanding; you can concretize vague, complex and broad problems and break them down into actionable sub-problems and tasks, help line up and concretize projects for more junior team members. Stakeholder Management: Proactively contact to partners to identify project needs and suggest solutions. Change Management: Recognize and efficiently build, communicate, and handle the business case for change – the costs and the benefits, building energy around the change. Use change as an opportunity to advance business objectives. Communication Skills: Communicate orally and in writing to a technical and non-technical audience. Business impact: Have business impact on one or multiple important metrics of your team, you are seen as a thought partner to the business! Qualifications: Experience – 12+ years in a similar role. Bachelors / Master’s degree, GIS, Geospatial, Geospatial Survey, Geographic Science, Computer Science, and other related fields, or related bachelor’s degree with some relevant experience. About Bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform important job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Location: Hyderabad Faculty Name: Professor Tamanna Singh Dubey Academic Area: Finance Research Summary of the Faculty Professor Tamanna Singh Dubey: Professor Tamanna obtained her Ph.D. in Finance from the Ross School of Business at the University of Michigan – Ann Arbor. Her research interests are in empirical Corporate Finance with a specific focus on financial technology, banking, household finance, and financial intermediation. Her current research agenda is to study the impact of innovation in financial intermediation, such as innovation in payments and lending, on households, firms, and the broader economy. Prior to her Ph.D., Professor Tamanna worked as an Investment Banking Analyst at Bank of America Merrill Lynch to raise equity and dollar denominated debt capital for Indian firms. She holds a bachelors in Electrical Engineering from Indian Institute of Technology Kharagpur, an MBA from the Indian Institute of Management Bangalore, and an MA in Economics from the University of Michigan – Ann Arbor. About ISB The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia. The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies. The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership. The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous. Roles and Responsibilities: You will provide assistance to the faculty in their ongoing research work which includes the following: Data - scrapping, compilation, cleaning and analysis. Synthesis - Literature search and review, summary, presentation, and analytical writing. Research Associate will get exposure in compiling and handling big data sets, learning new techniques and frontier techniques in Econometrics and Causality Regressions. Required Skills and Qualifications: This position is a good fit for a candidate looking to pursue a PhD in Finance or Economics. Qualifications: B Tech (preferably in Electrical Engineering, Signal Processing or Computer Science) OR Master’s degree in a quantitative area such as Economics, Statistics, Industrial Engineering, Computer Science, Mathematics, Data Analytics. Individuals with 4-year bachelor’s degree may apply. Preferred Skills: Experience working with big data systems, concepts, and tools. Working knowledge of statistical software and/or coding proficiency in programming languages such as Python, Stata, R, MATLAB etc. Strong verbal and written communication skills, with attention to every detail. Knowledge of writing API queries and web-scraping algorithms, ML or textual analysis and ability to use data mining techniques to extract data from structured/unstructured tables in PDF files is an added advantage. Motivation to learn and a strong work ethic. Our Commitment towards you ISB is a research-focused business school. It offers a variety of opportunities to understand the current management phenomena in depth, through research brown-bag seminars, workshops, and PhD-level courses. It provides several options to hone a person’s analytical skills. This position is best suited for a candidate with an interest in pursuing a PhD down the line. Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre in the entire Asia, Comprehensive Health and Personal Accident Cover for you and your family members. ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations. For any queries, reach out to - careers_ra_fd@isb.edu. Kindly do not share your resumes or CVs via email. If this role is your true calling, please fill out the form using the below-mentioned link. https://www.cognitoforms.com/IndianSchoolOfBusiness9/FDOHiringForm We will connect with you shortly. Hyderabad Campus Indian School of Business Gachibowli, Hyderabad - 500111 Timings : Monday- Friday, 08:00 AM IST to 06:00 PM IST 040 23187777 0172 4591800 careers_hyderabad@isb.edu careers_mohali@isb.edu careers_ra@isb.edu Mohali Campus Indian School of Business Knowledge City Sector 81, SAS Nagar ,Mohali - 140 306

Company Description CrystalVoxx Global LLP is a healthcare econometrics company offering Medical Billing and Coding Services for individual and group practices. With a focus on revenue cycle improvement and financial performance enhancement, we provide a range of services from insurance credentialing to claims scrubbing and denial management. Our process workflow ensures no money is left uncollected, supported by smarter analytics and technology. Join the Crystalvoxx team as a fresh graduate! Shift : Night shift (5:30 PM- 2:30 AM) Location : Unicus Shyamal, Ahmedabad Role Description This is a full-time on-site role for an AR Trainee I located in Nagpur. Job Responsibilities/roles:-  AR follow up/Insurance calling - Medical billing company  Denial management  Responsible for calling Insurance companies (in the US) on behalf of Physicians/Clinics/Hospitals and follow up on outstanding Accounts Receivables  Should be able to convince the insurance company (payers) for payment of their outstanding claims  Sound knowledge in U.S. Healthcare Domain (provider side) and methods for improvement on the same  Should have basic knowledge of the entire Revenue Cycle Management  Manage & develop collaterals as required  To check with Team Leader for client updates  Meeting all set productivity and quality targets with TAT  Identify issues and escalate the same to the Team Leader/Manager  Update Production logs  Adherence to company policies, rules and regulations  To follow quality processes using checklist Qualifications Strong Communication skills Bachelor's degree (except for B.Tech) Basic knowledge o MS Excel Interested candidates can share their resume at veena.k@crystalvoxx.com or at 7567202888

Senior Applied Scientist Hyderabad, Telangana, India + 1 more location Date posted Jul 10, 2025 Job number 1822320 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview How would you like to directly affect the lives of billions of humans? Would you like to be responsible for models and code running across tens of thousands of machines across datacenters around the world? What if you could multiply your impact by making developers around the world better? If you like building highly motivated and productive teams, we have got interesting opportunities for you. Who we are Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and all productivity applications in M365. The team obsesses about powering workloads with AI and innovates on next generation engineering infrastructure, tooling using AI. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Senior Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models. The scientists focus on evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. About the Org: The M365 org plays a pivotal role in powering end user experiences (copilots and beyond) powered by highly relevant search capability leveraging M365 eco system. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of working in an AI research facility or working with software services / experiences infused with AI. Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus. Preferred Qualifications: Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Responsibilities You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Us: Chryselys Services Private Limited is a leading Pharma Consultancy company committed to delivering innovative and data-driven business solutions. Summary: The Analyst / Sr. Analyst will provide integral support to our ongoing client projects. Data Insights Analyst will leverage standard pharma industry datasets - Sales, claims, Payer datasets from IQVIA, Symphony and Veeva etc. to synthesize key insights to provide strategic recommendations and implications, as appropriate. A successful candidate should have experience in the biopharma and/or healthcare industry, a background in data analysis and managing data integration projects, a proactive mindset, and a demonstrated track record of generating impactful insights for clients. Successful candidate should be capable of building data pipelines and Business Intelligence reports on Data Lake architecture combining several data sets to enable performing univariate and multivariate analysis. This includes data integration, harmonization and transforming raw data into curated datasets for Data / BI Analytics. On the tools side, The successful candidate should possess a strong background in a complex data processing environment using SQL platforms (like Redshift, Athena, Snowflake etc), Python/Jupyter Notebooks ( SageMaker etc) and Business Intelligence tools such as Tableau, Qlik, Quicksight. Responsibilities: Analyze Pharma datasets like IQVIA, Symphony, Veeva and Open data using SQL and cloud based data analytics tools to provide insights that solve client problems Synthesize and form recommendations using data visualization tools (QuickSight, Tableau, ThoughtSpot, etc.) and PowerPoint slides Analyze new requests for data, identifying the appropriate datasets, and generating database queries and summary data outputs for stakeholders Provide findings and final recommendations to client via written communication and formal presentations Understand client business issues, operating business rules, data and standard operating procedures Qualifications: Bachelors or masters degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as finance, applied mathematics, management science, data science, statistics, econometrics or engineering 2-4 years of previous experience working with key pharmaceutical/biotechnology data sets like Sales, Claims,Payer and other secondary data. Extensive experience in building data pipelines, Data Lake architecture using AWS services Redshift,Athena, S3 . Must be proficient in Python and SQL Demonstrated experience with data processing, data analysis, profiling, data cleansing and standardization process Build data stories and visualization using Business Intelligence tools such as Tableau, Qlik, Quicksight etc. Excellent advanced SQL and analytical skills to query databases to perform data analysis to further enhance business analysis. Ability to demonstrate strong Microsoft Excel skills, including Pivots and macros Ability to work independently and collaborate with colleagues to accomplish team goals and deadlines Advanced problem-solving skills and build / elevate internal capabilities; Ability to adapt quickly in a constantly changing environment. Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com

: The ideal candidate would be adept at understanding customers business challenges and define appropriate analytics approach to design solution Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions This is a hands-on role, will be required to manage day to day delivery activities in executing analytics projects by analysing large volume of data Should have familiarity on solutions in core functional areas related to Promotion Effectiveness, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc. Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development This role requires excellent communication skills .Must Have: Hands on experience in exploratory data analysis, A/B testing, Campaign Measurement and model building (end to end), customer Analytics, Loyalty and Promotions1-2 years in hospitality industry Tools: Databricks, Python, SQL, Experience on AWS platforms/Azure Excellent communication skills, both oral and written.Functional/Domain Experience:Good exposure to hospitality industry and their datasets Relevant Experience: 5+years of hands-on experience in Data Science Qualifications Educational Criteria:Masters in Statistics / Mathematics / Economics / Econometrics from Tier 1 institutions OrMBA from Tier 1 institutions - Preferred

You ll be at the cutting edge of the most advanced analytics in the media industry. Seeing the industry improve and change from the very front. You ll be working in a close-knit friendly team who are there to support you at every stage of your career. We truly work as a team! You ll be constantly learning and challenged. No two days will ever be the same, and every day there an opportunity to improve on everything that has gone before. Measures of success: In 3 months, you would have: Been fully immersed in the team s modelling approaches, developed a good working relationship with the rest of the modelling team and worked on your first client project In 6 months, you would have: Completed your first 1-2 client modelling projects, from modelling building, validation and sign-off including ongoing management with little input from your manager In 12 months, you would have: Worked across a number of projects and taken on increasing ownership of the modelling process, actively participating in ongoing improvements of processes and workflows Responsibilities of the role: Support Account Lead (Modelling)/Director in day to day running of technical aspects of own projects Be responsible for modelling on own projects and begin to take the stakeholder facing elements of projects Take a major role in a building or updating models, ensuring they are statistically robust and intuitive whilst ensuring key modelling questions are answered Ensure our modelling processes are consistent across client projects, with a focus on statistical robustness Design, develop and maintain modelling processes, troubleshooting as required Coach and develop junior team member(s), where applicable, so they maximize their potential What you will need: At least 4 year s hands on experience in Market Mix Modelling, with rich and complete data sets Degree or degree-level understanding of Economics, Math s, Stats, Sciences or another numerical subject Experience in modelling projects for time series econometrics in the media or marketing industry strong Market Mix Modelling technical understanding and experience is required An analytical mindset, able to approach issues and challenges from a variety of angles Highly numerate, with strong mathematical acumen Great communication skills Ability to priorities Advanced Excel user Strong knowledge of common modelling packages, Excel, PowerPoint, R or other programming languag

: In Scope of Position based Promotions (INTERNAL only) Job TitleSenior Risk Analyst, NCT LocationPune, India Role Description Market Valuation and Risk Management (MVRM) is responsible for managing market risk and ensuring fair value assessment of Books & Records within Deutsche Bank. The primary market risk objective is to ensure that business units of the bank optimize the risk-reward relationship and do not expose it to unacceptable losses. We work closely with risk takers, risk managers and control and support groups in the process to ensure these objectives can be met. Market Data Strategy and Analytics (MDSA) is a function within MVRM that is responsible and accountable for the procurement, analysis and governance of historical market data used as inputs in the key risk metric (eg Value at Risk, Economic Capital, Credit Counterparty Risk, Portfolio Stress Test). What well offer you : . 100% reimbursement under childcare assistance benefit (gender neutral). Sponsorship for Industry relevant certifications and education. . . Accident and Term life Insurance. Your Key Responsibilities Applying experience and subject matter expertise to perform RTB tasks such as VaR/SVaR impact analysis for both Hist Sim Sensi Based and Hist Sim Full Reval, continuous improvement of processes and coordination of changes in market data. Perform data quality checks to ensure the completeness and accuracy of EOD data / time series are at par to use for risk calculations. Take part actively in weekly Scenario Set generation for VaR/SVaR/Economic capital calculation and ensure Scenario sets are released within the cut-off time. Analyzing impacts of time-series changes on group level VaR/SVaR and ability to communicate/coordinate effectively to wider audiences. Liaising with Market risk managers, FO quant, Change teams and Methodology to perform deep dives on data challenges in new market risk models/methodology changes/RNIV and implementation of new regulations such as FRTB and IHC examination. Actively take apart in proxy decision making and come up with appropriate proxy choices for a time- series. Perform Stressed-period-selection and analyze results for accuracy and reliability. Help specify requirements and test functionality for new feed set up, processes and ability to coordinate with Risk-IT for seamless implementation of new data requirements and process enhancements. Your skills and experience 1-2 years experience in investment banking, Market Risk, specifically in controlled production environments. Good knowledge of financial instruments and markets across all asset classes Strong analytical skills with basic knowledge of Numerical techniques and applied econometrics. Basic knowledge of Derivatives Pricing & Risk calculation, VaR, PFE Hands-on experience of using external data sources such as Bloomberg, MarkIT & Reuters. Basic knowledge in Web-based technology will be a plus. Programming skills in at least any one of C/C++, Java, Python, MatLab etc will be a plus. Education | Certification (Recommended): Engineering or bachelors degree in finance from an accredited college or university with excellent project experience and grades in quantitative and numerical coursework. Certification in Financial Risk Management will be a plus. Business Competencies: Communication - Experienced Industry Knowledge - Experienced Risk Management Basic Innovation Basic Managing Complexity - Basic Technical Competencies: Risk Management Experienced Financial Product Knowledge - Experienced How well support you

Do you have passion for data mining, machine learning and AI algorithms? Do you aspire to build digital solutions powered by machine learning, AI algorithms? Are you a strong communicator and problem solver and looking for an opportunity to transform business requirements into digital products? This is an opportunity to join Maersk Group’s BI team and help drive visible, recognizable change as a Data Scientist for this globally respected, industry leading brand We Offer: This position offers the unique opportunity to develop and apply your cutting-edge knowledge of data science related methods and tools to create results and insights that will accelerate the transformation of our business model, and to work with business specialists in BI. Maersk BI team is committed to extracting patterns and insights from data by the application of domain expertise, tools and technology, and is specialized in statistical modeling, forecasting, optimization and machine learning. The team is at the forefront of developing industry leading digital solutions & applications for the organization. This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. At A.P. Moller - Maersk we focus on the individual’s development and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress Key Responsibilities: As a Data Scientist you will participate in various projects with strong support from fellow dedicated team members, to influence business decisions, drive digital transformation at one of the largest companies in the world. Your responsibilities will be to: Participate in data science products, be hands-on and extract, curate and prepare data and build statistical models and digital solutions to extract value and create actionable recommendations. Identify and operationalize valuable insights from the data into business and digital applications. Ensure solutions are scalable, repeatable, efficient and effective Who we are looking for: A total of 0-2 years of industry experience in building data science models and products. M.Sc./MTech in statistics, mathematics, econometrics, computer science, physics or related field. A background or profile in Machine Learning, quantitative methods, predictive modelling, statistics or similar. Excellent track record of delivery using languages like Python, R, pyspark and technologies like Azure or AWS. Willingness to build on and experiment with cloud data science platforms, in addition to our own services. Ability to effectively communicate data-driven solutions and recommendations to business stakeholders. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Who are we looking for? Customer Success Manager drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables and generating focused insights. Openings: 1 Experience: Min. 3-5 Years of work experience Requirements: Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. Past experience in working with Advanced Excel and in making powerful presentations will be a plus. We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: Competitive salary Technical coaching to ensure continuous professional growth Awards & recognition for your hard work Job Type: Full-time Pay: ₹45,000.00 - ₹75,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Quarterly bonus Application Question(s): Where are you currently residing?(City) How many years of total experience do you have in Customer Success? What's your notice period in-days? What's your current annual salary? Work Location: In person Speak with the employer +91 9773695353 Application Deadline: 15/07/2025 Expected Start Date: 28/07/2025

Who are we looking for? Client Servicing Executive drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables and generating focused insights. Openings: 2 Experience: Min. 2-4 Years of work experience Requirements: Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. Past experience in working with Advanced Excel and in making powerful presentations will be a plus. We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: Competitive salary Technical coaching to ensure continuous professional growth Awards & recognition for your hard work Job Type: Full-time Pay: ₹35,000.00 - ₹55,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Quarterly bonus Application Question(s): Where are you currently residing?(City) What's your notice period in-days? What's your current annual salary? Work Location: In person Speak with the employer +91 9773695353 Expected Start Date: 28/07/2025

Associate / Sr. Associate - Customer Success Who are we looking for? Associate Customer Success drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables. and generating focused insights. Openings: 5 Experience: Min. 2-4 Years of work experience Requirements: Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. Past experience in working with Advanced Excel and in making powerful presentations will be a plus. We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: Competitive salary Technical coaching to ensure continuous professional growth Awards & recognition for your hard work Job Types: Full-time, Permanent Pay: ₹350,000.00 - ₹750,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are looking for a Senior Data Scientist to join our Detection Engineering team and lead the development of AI/ML models that enhance the efficiency and impact of Microsoft’s Security Operations Center (SOC). In this role, you will drive the design and optimization of scalable, data-driven solutions that transform massive security signal data into actionable intelligence. You’ll bring deep technical expertise to guide model architecture, platform integration, and best practices in security engineering, while collaborating closely with analysts, responders, and engineers to align on goals, scope, and strategy. Beyond technical leadership, you’ll continuously evolve our advanced detection frameworks to improve accuracy, reduce false positives, and stay ahead of emerging threats. You’ll mentor early-in-career engineers, foster a culture of learning and innovation, and contribute to a strong, inclusive team environment grounded in Microsoft’s values. If you’re passionate about applying data science to real-world security challenges and thrive in a fast-paced, mission-driven space, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Develop and implement machine learning models and algorithms to detect security threats and attacks within Microsoft. Analyse large and complex datasets generated to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of security models to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Stay up to date with the latest advancements in data science, machine learning, and cybersecurity. Qualifications 8+ years of experience in Data Science, machine learning, natural language processing, and deep learning preferably with a focus on Cyber Security or related fields. Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn and others). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts stakeholders. Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or equivalent experience. Preferred Qualifications: Experience in developing and deploying machine learning models for Cyber security applications. Experience in Big Data preferably in the cybersecurity or SaaS industry. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity. Excellent track record of cross team collaboration. Ambitious, self-motivated. Agile, can-do attitude and great at dealing with ambiguity. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are looking for a Senior Data Scientist to join our Detection Engineering team and lead the development of AI/ML models that enhance the efficiency and impact of Microsoft’s Security Operations Center (SOC). In this role, you will drive the design and optimization of scalable, data-driven solutions that transform massive security signal data into actionable intelligence. You’ll bring deep technical expertise to guide model architecture, platform integration, and best practices in security engineering, while collaborating closely with analysts, responders, and engineers to align on goals, scope, and strategy. Beyond technical leadership, you’ll continuously evolve our advanced detection frameworks to improve accuracy, reduce false positives, and stay ahead of emerging threats. You’ll mentor early-in-career engineers, foster a culture of learning and innovation, and contribute to a strong, inclusive team environment grounded in Microsoft’s values. If you’re passionate about applying data science to real-world security challenges and thrive in a fast-paced, mission-driven space, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Develop and implement machine learning models and algorithms to detect security threats and attacks within Microsoft. Analyse large and complex datasets generated to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of security models to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Stay up to date with the latest advancements in data science, machine learning, and cybersecurity. Qualifications 8+ years of experience in Data Science, machine learning, natural language processing, and deep learning preferably with a focus on Cyber Security or related fields. Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn and others). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts stakeholders. Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or equivalent experience. Preferred Qualifications Experience in developing and deploying machine learning models for Cyber security applications. Experience in Big Data preferably in the cybersecurity or SaaS industry. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity. Excellent track record of cross team collaboration. Ambitious, self-motivated. Agile, can-do attitude and great at dealing with ambiguity. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Senior Data Engineer ? Overview Technical Implementation team is part of MasterCard Services group and one of the most rapidly growing organization in the space. Services Technology Teams provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. The Technical Implementation team is a core component to consulting services, managing the data acquisition, integration and transformation of client provided data within the Test & Learn platform for global engagements. Role The Senior Data Engineer will lead and participate on data management aspects of client engagements to deliver Test & Learn solutions, as well as contribute to and foster a high performance collaborative workplace. A Senior Data Engineer will: Independently lead projects through design, implementation, automation, and maintenance of large scale enterprise ETL processes for a global client base Act as an expert technical resource within the team and region Deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions and industry sectors Build trust-based working relationships with peers and clients across local and global teams Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group Leverage industry best practices including proper use of source control, participation in code reviews, data validation and testing Plays a lead role where he/she oversees the activities of the data engineers and ensures the efficient execution of their duties Act as an advisor/mentor and helps in managing careers for junior team members Comply and uphold all MasterCard internal policies and external regulations All about you: BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). ME/MTech preferred

IMC s Quantitative Python Development team partners directly with our equity and index options trading desks, blending financial theory, software engineering, data-visualisation, and applied research to convert raw data into trading edge. You ll operate in a high-calibre, intellectually stimulating environment that leverages cutting-edge technology, proprietary tools, and vast datasets. Working side-by-side with traders and software engineers, you ll see your work move swiftly from idea to production and directly influence trading performance. Our culture prizes innovation, collaboration, and continuous learning where creative problem-solving, a strong sense of responsibility, and rigorous diligence drive success. Your Core Responsibilities: Collaborate closely with traders to refine existing strategies and generate new ideas. Build, maintain, and enhance research frameworks and data pipelines that enable trading and quantitative research. Develop, back-test, and implement discretionary and systematic trading strategies using large, diverse datasets. Curate, transform, and present data in clear, accessible formats for traders and researchers. Drive end-to-end research cycles from ideation through production deployment. Your Skills and Experience: Master s or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline. 2-3 years of professional Python development experience, with strong, production-level coding skills; familiarity with additional languages is a plus. Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow). Proven ability to handle large datasets, architect and optimise data pipelines, and present data effectively. Foundational knowledge of quantitative trading concepts and equity/index options whether through coursework, projects, internships, or professional work. Exposure to web/API frameworks such as FastAPI and React is advantageous. Experience with orchestration and containerisation tools like Kubernetes and Docker is a plus. Solid grounding in calculus, probability, statistics, and optimisation; familiarity with machine-learning techniques is beneficial. IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Job Description Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Same Posting Description for Internal and External Candidates

Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission. As a Senior Applied Scientist working in OneNote team, your core mission is to deliver high quality AI-scenarios for Copilot Notebooks. You’ll be responsible for adopting the latest ML technologies, measuring the impact of models and working with product teams to design AI-powered experiences. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You’ll have access to the latest models, research and ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc). Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Come up with evaluation techniques, datasets and metrics to measure the impact of the latest models on product scenarios. Work with product teams in designing AI-powered experiences. Collaborate with research teams to adopt the latest ML technologies into the product. Push the boundaries of AI innovation by partnering with platform teams and working with frontier models. Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets. Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor Participate in onboarding of junior team members and assist in developing academics to the members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 5+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models. Proficiency in Python and familiarity with coding in multiple languages. Proficiency in using ML libraries from sources such as Hugging Face. Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications. Published papers in reputed ML conferences and/or contributions to open-source ML projects is a plus. Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines. Ability to quickly ramp up on various domains within Machine Learning. Experience shipping high-quality products at scale is a plus. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

At OneNote, we are driven by a bold vision: "To help activate a second brain for everyone to realize their full potential." We are embarking on the next chapter of our evolution via Copilot Notebooks: notebooks designed for an AI powered future. We're building solutions that make capturing ideas seamless, understanding complex information intuitive, and taking informed action Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, OneNote Copilot Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities — and help millions of users across the globe activate their second brain. We are looking for a Data Scientist II to join our team and help us shape the future of OneNote. In this role, you will partner with product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, and identify growth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, and a strong sense of purpose. If you’re passionate about using data to drive decisions and want to work on a high-impact product at the cutting edge of productivity and AI, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer expectations regarding project progress. Collaborate with cross-functional teams to define metrics, design experiments, and uncover user behaviors that influence product adoption and growth. Use statistical analysis, data mining, and machine learning techniques to generate insights from large-scale structured and unstructured data. Acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies. Model techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation. Build dashboards and reports that enable product teams to track key performance indicators and make data-informed decisions. Develop and iterate on models to identify high-value scenarios, recommend features, and improve user retention and engagement. Communicate insights clearly and effectively to both technical and non-technical stakeholders, influencing product strategy and priorities. Contribute to a culture of data excellence by championing best practices in experimentation, measurement, and data governance. Understanding the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Proficiency in SQL and at least one programming language such as Python or R. Experience with business intelligence tools (e.g., Power BI, Tableau). Strong statistical knowledge and experience with A/B testing, causal inference, or other experimentation methodologies. Experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent). Ability to work independently and collaboratively in a fast-paced, ambiguous environment. Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in product analytics, growth strategy, or user engagement optimization. Familiarity with Microsoft Office ecosystem or productivity tools is a plus. Experience with Copilot/LLM-related user scenarios or AI-driven products. Strong storytelling and communication skills, with the ability to turn complex data into clear, actionable narratives for executives and product teams. Passion for building delightful and impactful user experiences with measurable outcomes. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission. As a Applied Scientist II working in OneNote team, your core mission is to deliver high quality AI-scenarios for Copilot Notebooks. You’ll be responsible for adopting the latest ML technologies, measuring the impact of models and working with product teams to design AI-powered experiences. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You’ll have access to the latest models, research and ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc). Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Come up with evaluation techniques, datasets and metrics to measure the impact of the latest models on product scenarios. Work with product teams in designing AI-powered experiences. Collaborate with research teams to adopt the latest ML technologies into the product. Push the boundaries of AI innovation by partnering with platform teams and working with frontier models. Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets. Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor Participate in onboarding of junior team members and assist in developing academics to the members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 3+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models. Proficiency in Python and familiarity with coding in multiple languages. Proficiency in using ML libraries from sources such as Hugging Face. Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications. Published papers in reputed ML conferences and/or contributions to open-source ML projects is a plus. Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines. Ability to quickly ramp up on various domains within Machine Learning. Experience shipping high-quality products at scale is a plus. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.