401 Econometrics Jobs - Page 16

Role: Customer Success Associate Employment Mode: 5 days, WFO Location: Gurgaon, Sector-18 Please note: 1.Do not apply if in case you don't have Voice/Call process experience in your last/current company. Your candidature will be rejected. 2. Gurgaon Location is preferred. 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. Job Type: Full-time Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Quarterly bonus Application Question(s): On a scale of 1 to 10, how would you assess your English communication skills? [1 is the lowest and 10 is the highest] We must fill this position urgently. Can you start immediately? Experience: International voice process: 1 year (Required) Domestic voice process: 1 year (Required) Location: Gurugram, Haryana (Required) Work Location: In person Application Deadline: 08/05/2025 Expected Start Date: 26/05/2025

Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead – Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling – Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards – in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

Facilitate 5 key global analytics objectives (listed below) for the India market Standardized Data Model & Data Governance Standardized Reporting & Dashboards Marketing Mix Models Segmentation to Power Content & Personalization Content Auto-Tagging & Creative Effectiveness Build and exhibit deep data expertise on available datasets (internally available as well as data from external vendors) to support data enabled decision making Develop and maintain high quality, interactive dashboards to enable brand managers and leadership to track performance Work on prescriptive and predictive analytics to answer unstructured and open-ended questions from business stakeholders with varying levels of technical know-how Develop into a trusted advisor by actively participating in various phases of the project including kick-off, methodology development, execution, insight generation and presentation to various stakeholders Find and execute opportunities for driving growth within the India business by providing timely data and analytics support Required Skills and Expertise: Technical Skills Expertise in writing and debugging efficient SQL queries, Python or R (one of them), Excel and VBA Experience in designing, developing, and deploying Reports, Dashboards, and Apps in Power BI including Alteryx/KNIME experience is highly desirable Handson experiences working on advanced analytics projects will be desired Prior experience working on AI projects would be beneficial Experience with the following technologies: Cloud platforms like AWS & Azure Experience in business analytics tasks like data cleaning, preparation, and basics of good reporting Experience in pharmaceutical forecasting is good to have. Business Integration Skills 12+ years of evolving experience in business/market intelligence, performance reporting, and descriptive analytics for Marketing or other commercial leadership, with demonstrated results in understanding, structuring, and making sense of unfamiliar and messy datasets in the pharma Industry Demonstrated ability to quickly grasp business dynamics and data constraints, and propose effective analytics solutions tailored to regional needs. High learning agility with a proven track record of adapting to new challenges and environments swiftly. Ability to operate effectively in an international matrix environment Exposure to advanced analytics techniques is not mandatory but would be preferred Strong interpersonal and communication skills with the ability to work remotely across time zones Excellent prioritization and project management skills to be able to work on multiple priorities simultaneously and communicate expectations to stakeholders clearly Education Master s degree in sciences or quantitative discipline, i.e., Econometrics, Statistics, Engineering, or Computer Sciences preferred but not mandatory

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. Our team accelerates threat prevention efforts by automating detection, analysis, and response at scale and as close to discovery as possible. 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 Design solutions for optimizing analyses of entities, telemetry and behavioral data and advance state-of-the-art of threat detection and protection. Create actionable insights from analysis to drive develop durable detection & prevention strategies across the entire kill-chain, highlight protection gaps and drive product improvements. Independently works to create product impact. Identifies approach and applies, improves, or creates new data science models to positively impact a Microsoft product or service. Work with internal and external teams to forge new and improve existing partnerships that help mature the product and derive better insights Condense findings and communicate these verbally and in writing to researchers, developers and engineers through Data Visualizations and Infographics conveying clear, concise and powerful messages. Qualifications Qualifications - Required: 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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter. Bachelor's Degree or higher in Statistics, Econometrics, Computer Science, Computer Engineering, or related field OR equivalent industry experience Experience with data analysis involving statistical software tools, Big Data systems, Data Pipelines and Reporting (8+ years) Python / C# experience (8+ years) Experience with Azure/AWS/GCP (3+ years) Good to have: Industry experience in the cybersecurity area (5+ years) Experience with Generative AI / LLMs / NLP (1+ years) Prompt Engineering (1+ year) #MSFTSecurity #MSFTSecurity #CyberSecurity #MTP #Defender #AutoProtect 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.

Brief on the Organization: The Indian Institute of Public Health (IIPH) Hyderabad commenced its activities on July 1, 2008, with a mission to deliver public health education, pursue research and advocacy and support policy development. It lays strong emphasis on pursuing public health policy, practice, training and research, positioning its programmes according to the public health priorities of the state and the nation. The institute has brought together a highly qualified and diverse faculty of nationally and internationally trained and extremely motivated public health academics and practitioners. It aims to create an environment that supports excellence in instruction, research and practice. IIPH Hyderabad goals include training public health professionals through long- and short-term courses each year. The flagship courses of IIPH Hyderabad are the Post Graduate Diploma in Public Health Management. Short-term courses include training in research methods, statistics, disease surveillance, and change management. In addition, the institute collaborates with various academic, research, and administrative organizations to conduct workshops and conferences, and to undertake public health research and evaluation. The Indian Institute of Public Health Hyderabad (IIPH-H) as an arm of the Public Health Foundation of India (PHFI) aims to strengthen Public Health in India. The governance of IIPH Hyderabad is managed by a locally empowered society called the Institute of Public Health Sciences Hyderabad (IPHSH) Project Brief To facilitate the process of transparent and evidence informed decision making in the field of health, Government of India has created an institutional arrangement called the Health Technology Assessment in India (HTAIn) under the Department of Health Research (DHR). HTAIn is entrusted with the responsibility to collate and where needed generate evidence related to the clinical effectiveness, cost-effectiveness, and safety of medicines, devices and health programs using the Health Technology Assessment (HTA) approach. Indian Institute of Public Health, Hyderabad has been selected as a hub of HTAIn with the mandate of carrying out HTA for government and various other relevant agencies in that region. Qualification: Essential: PhD/Masters in Economics /Development Economics/Public Health with specialization in Health Economics, Health Financing and Health Policy. Desirable: Publication in reputed peer-reviewed journals will be given weightage Experience: Essential: Working post-degree in Health Economics research projects at middle to senior researcher level for 2-3 years. For PhD in Economics the post-PhD experience can be relaxed to 1 years provided the thesis was aligned to any public health project or programme and there are publication(s) from it Academic review (scoping and systematic) Competence at biostatistics/econometrics with fluent use of statistical software (preferably R and STATA) with working knowledge of large datasets.: Process to Apply: Interested and eligible candidates may send their updated CV to vacancies@iiphh.org Please mention the exact Position Code (IIPHH-HE-001-2025) in the email subject line and fill the application form: https://docs.google.com/forms/d/e/1FAIpQLSdrFEq26oT1zUHA2IjNNyIoCroCAbp4Ezf6W-pz2PLHU1ILnA/viewform?usp=header Only shortlisted candidates will be contacted for the interview. Please note that Annual Salary (CTC) will commensurate with available skills and fitment of the incumbent as per the selection process. Last Date of Receipt of Applications: 22 May 2025 Code: IIPHH-HE-001-2025 Location: IIPH Hyderabad Category: Fixed Term Salaried Duration of Position: 1 year or co-terminus with the project, as applicable Number of Positions: 1 Last Date: May 22, 2025

Principal Applied Scientist Hyderabad, Telangana, India Date posted May 13, 2025 Job number 1811311 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 Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done. We are responsible for collaborative work management products including Microsoft Project, Planner, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Principal Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. 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 8+ 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 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Other Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements that 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: Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. #agentic #llm Responsibilities You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and 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.

An Assistant Professor of Statistics job description typically involves teaching undergraduate and graduate courses in statistics, conducting research, mentoring students, and participating in departmental activities.

locationsBangalore - North time typeFull time posted onPosted 6 Days Ago time left to applyEnd DateMay 17, 2025 (4 days left to apply) job requisition idJR-0010858 FundRock is a Pan-European leading independent UCITS management company and AIFM (Alternative Investment Fund Manager). Our clients are established blue-chip companies and leaders in their domestic market. We invest in our people, enabling you to develop your skills and build on your experience. If you like the idea of working for an ambitious and growing company, as part of a multicultural team, we are the place for you. JobSpecification ChallengeandvalidatefinancialmodelsforthevaluationofcomplexexoticOTCderivativesandstrategies(suchasvarioustypesofswaps(dispersion,variance,correlation,CMS)oroptions/optionstrategies(dualdigital,dispersion,CMS,volatilitystraddle)privateequityandventuredebtinvestments. Regularlyvalidatecounterpartyvaluationsforsuchcomplexfinancialderivativesandvaluationrecommendationsorvaluationreportsforassetclasseslikeprivateequityorventurecapitalundertightfunddeadlines. Analyseevents(corporateorother)withregardstovaluation,suchasrestructuringsorspecialmarketdevelopments. Preparethebacktestingfortargetfundinvestmentsandanalyzedeviationsbetweentheauditedfinancialstatementandthecorrespondingcapitalaccountstatemenaspartoftheauditprocess. Prepareandpresentproposalsforvaluationdecisionstothevaluationcommitteeincludingseniormanagement. Monitorthefundscompliancewithrelevantlaws,regulationsandfunddocumentation. Buildbridgestoclientsandexternalpartieslikeauditorsorvaluationserviceprovidersandcommunicateinternallywithalllevelsofthecompanytoeffectivelyachievegoalsandmeetexpectations. Contributeefficientlytonewprojectssuchastheonboardingofnewclients. SkillsRequired Atleast5yearsofprofessionalexperienceinacomparablerole,eginanassetmanagementorabig4company,corporatefinance,dealorriskadvisory. Backgroundinapreferablyquantitativediscipline,egmaster'sinmathematics,physics,engineering,econometrics. Excellentunderstandingofmathematicalfinanceandfinancialmodellingskills. VerystrongcommandofICE/SuperDGUItosetupcomplexOTCderivatives,Refinitiv,BloombergincludingBloombergPricers. Teamspiritandcommunicationskillsincludingacriticalmindset. Flexibilityandabilitytomanagevarioustasksundertightdeadlines. Excellentunderstandingoftheregulatory,valuationandaccountingenvironmentinLuxembourgforalternativeassetmanagers(egAIFMDirectiveresp.CDR231/2013,CSSF18/698,IFRS,CSAValuation). StrongcommandofMicrosoftExcelandWord. Englishproficiency:additionallanguages,especiallyGerman,areconsideredanasset. As a vital team member and in return for your expertise, inclusive approach and commitment, we'll provide a favourable salary and the chance to join a passionate and welcoming team. Benefits As a truly global business, we tailor benefits to each location to safeguard our people and respect local cultures and ways of working. Our people are our greatest asset, and we invest in talent development. Join our global network, and you will benefit from education support, sponsorship and in-house training programs. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and lets lead the way together. How will you make an impact in this role? The Forecasting Team within Global Capacity and Contact Management (GCCM) has one main objective the accurate prediction of demand case setups, daily call/chat volumes and average handle times, which allows Capacity Staffing and Scheduling to deliver against customer, shareholder and employee goals. Our Team is responsible for providing end-to-end demand forecasts across all customer service networks in the US and around the World. We are also responsible for monitoring channels of contact trends and providing deep-dive analytics to support configuration and customer satisfaction enhancement decisions. The Analyst - Planning position on the Forecasting Team will specifically play a key role in developing Global Short Term and Long-Term forecasts for case setups, chat and call volume segments. Job Responsibilities: Develop Global Short-Term and Long-Term forecasts for case setups, chat and call volumes. Leverage complex data sources to extract meaningful insights. Conduct strategic analyses to inform business decisions and actionable recommendations. Develop and automate reports/dashboards to inform partners and senior leaders. Collaborate and effectively partner with multiple functional teams to acquire and apply knowledge of business growth initiatives, risk/financial actions and/or process optimization programs to identify risk and opportunities. Manage in a global 24x7 environment with the potential for dealing with crisis/contingency plan situations. Develop insightful content and analysis for communication with partners. Required Skills/Qualifications: Rigorous analytics/econometrics to effectively solve complex business problems Ability to build strong relationships in a cross-functional environment, interacting with and influencing partners in Capacity Planning, Finance, Scheduling and Real Time Optimization. Strong programming/analytics skills are required (SQL, PYTHON, HIVE etc.). Working experience in reporting (i.e. data visualization, PowerBI, Tableau) Strong written and verbal communication skills Experience working with large datasets; knowledge of Hive, SQL, Google Big Query Cloud or other programming language preferred. Experience working with machine learning algorithms to develop best in class predictive modeling (including neural networks) preferred. Academic background: Advanced degree in Statistics, Economics, Applied Economics, or Business Analytics. Master s degree preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

The position may not be available immediately after you apply, but we encourage you to upload your CV if youre interested in participating. We have exciting projects coming soon with plenty of tasks, and we want to stay in touch with you. Once the role becomes available and you meet the criteria, you will be our priority candidate to join the project among the first, and we will reach out to you as soon as possible. About the Company At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Economics, you ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI s answers. Correct the model s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you ll help shape the future of AI while ensuring technology benefits everyone. You hold a PhD (preferred) or a Masters degree in Economics. You have at least 3 years of professional experience in Behavioral Economics, Econometrics, Macroeconomics, Microeconomics, Developm

- Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field - Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions - 2+ years work experience in analytics field and working with relational Databases - Self-driven, and showcases ability to deliver on fast paced projects using extremely large data sets - Fluency in SQL, and deep understanding of ETL is a must. Amazon Consumer Gift Cards is a fast-growing, multi-billion-dollar, worldwide business with a mission to provide the world’s most desired and convenient gift to customers. We are looking for an Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. Key job responsibilities Core Responsibilities includes but not restricted to: - Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions. - Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling - Evolve organization wide Self-Service platforms - Building metrics to analyze key inputs to forecasting systems - Leading complex analytical deep dives (Segmentation, A/B testing) - Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight Experience working with redshift, Cradle or other AWS tools is a plus Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

As part of Dun & Bradstreet's Data & Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun & Bradstreet initiatives. Key Responsibilities:Utilize the latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing, and graph analysis in automating and scaling internal business processes.Establish and maintain strong relationships with key business stakeholders.Engage clients and D&B colleagues to identify business needs and develop, implement, and manage solutions.Strong communication skills and the ability to simplify and explain complex concepts for stakeholders, clients, and senior leaders.Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring and reporting.Develop Global Analytic Solutions inclusive but not limited to statistical models based on D&B’s established best practices, methodologies, and tools.Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases.Serve as a Subject Matter Expert on predictive models within the team and with business users; consult with the business, as appropriate, on predictive modeling solutions.Enjoy and share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases and go to market strategies.Validate the performance of existing quantitative risk models and recommend changes when necessary.Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs. Key Skills:Master’s Degree or Ph.D. in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering.7+ years’ operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiative.Hands-on experience applying modern machine learning technique.Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL).Experience in feature engineering, automation, network analysis or Natural Language Processing.Experience working with outside clients on statistical engagements.Ability to manage multiple assignments, many of which have challenging timelines.Ability to work independently, as well as collaborate effectively in a team environment.Excellent communication and presentation skills.Proficiency in Microsoft Office Suite.Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and program.Where applicable, fluency in English and languages relevant to the working market.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... You’ll be ensuring that analytics drive continuous business improvements, bringing more profitable growth and an even better customer experience. You’ll define the analytics strategy and champion that strategy across the business in order to build consensus for data-driven decision making. You’ll also co-own the data analytics team, planning and leading all aspects of the work, and crafting an engaging environment where team members can thrive. Your end goal is to recommend improvements that will go straight to the bottom line by helping us serve our customers. Leading a strong internal data analytics team to support the business.Partnering with others to understand business challenges.Crafting creative approaches to uncover the biggest opportunities for cost and time savings.Defining and driving the analytics strategy and modeling approaches.Building business cases and translating findings into practical business implications.Driving the adoption of analytics in decision making. What We’re Looking For... You are the one reading up on the latest standard methodologies in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are a specialist in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others. You’ll Need To Have Bachelor’s degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics or four or more years of work experience.Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.Experience with quantitative modeling, statistics, or data mining. Even better if you have one or more of the following: Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field.Worked with SQL and statistical software packages like SAS and SPSS.Managed a team.Experience with visualization software like Qlikview, Tableau, or Excel.Coding experience (e.g., C/C++, Java or Python).Demonstrated communication and influence skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... You’ll be ensuring that analytics drive continuous business improvements, bringing more profitable growth and an even better customer experience. You’ll define the analytics strategy and champion that strategy across the business in order to build consensus for data-driven decision making. You’ll also co-own the data analytics team, planning and leading all aspects of the work, and crafting an engaging environment where team members can thrive. Your end goal is to recommend improvements that will go straight to the bottom line by helping us serve our customers. Leading a strong internal data analytics team to support the business.Partnering with others to understand business challenges.Crafting creative approaches to uncover the biggest opportunities for cost and time savings.Defining and driving the analytics strategy and modeling approaches.Building business cases and translating findings into practical business implications.Driving the adoption of analytics in decision making. What We’re Looking For... You are the one reading up on the latest standard methodologies in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are a specialist in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others. You’ll Need To Have Bachelor’s degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics or four or more years of work experience.Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.Experience with quantitative modeling, statistics, or data mining. Even better if you have one or more of the following: Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field.Worked with SQL and statistical software packages like SAS and SPSS.Managed a team.Experience with visualization software like Qlikview, Tableau, or Excel.Coding experience (e.g., C/C++, Java or Python).Demonstrated communication and influence skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Description Summary Job purpose Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role Requirements Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions.Capability to clearly understand and articulate a data science problem and lead multiple projects with required support.Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus.Should have hands-on experience on database using SQL.Should have knowledge on Data visualization tool like Power BI.Good to have experience in any AutoML tool.Good to have experience in GenAI.Good to have experience in Azure cloud. Client Responsibilities: Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions.Provide product and design level technical best practicesInterface and communicate with the onsite coordinatorsDevelop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc.Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experienceShould be at least around 5-6 years of experience in AnalyticsShould have understanding and experience of analytics best practices.Excellent business communication, Consulting, Quality process skillsMust be a team player and team leader Your People Responsibilities (For People Leading Roles) Building a quality cultureManage the performance management for the direct reportees, as per the organization policiesFoster teamwork and lead by exampleTraining and mentoring of project resourcesMentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc.)Participating in the organization-wide people initiatives Additional Skills Requirements Experience in Insurance/ Banking/ FinancePrior Client facing skillsPrior onsite experience is a plusShould have engaged in client interactions, participating in business workshops EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking an experienced leader with strong expertise in statistics, mathematics, econometrics, or a related field. You are a great fit if you have profound experience with consumer (panel) data and the methodologies related to it. About The Role Collaborative Environment: Work in an international team in a flexible and supportive setting Leave a footprint: We create a new Consumer methods team in India, and you will be there right from the start, leading it Methodology Enhancement: Evaluate and improve current methodologies, such as advanced validation routines, consumer models and projection techniques Research and Analysis: Develop new solutions for our Consumer product. Present and communicate findings and recommendations based on rigorous research and analysis to peers and senior stakeholders Coordination: Coordinate efforts across multiple teams and stakeholders About You You should possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. You should have experience in hiring and leading a team of experts. Educational Background and experience: Master’s Degree or phd in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 5 years of relevant experience with at least 2 years experience of managing a team Statistical Expertise: Strong statistical and logical skills, with experience in outlier validation, sampling, bias reduction, indirect estimation, or data aggregation techniques Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets Programming Proficiency: Strong experience with Python or another high-level programming language, with a willingness to learn Python Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Curiosity to follow the newest research in the relevant fields and transfer to our products and business processes; potentially collaborate with academia. Passion for developing people and a strong performing team Communication and Collaboration: Strong communication, writing, and collaboration skills (English) Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team! Additional Information Our Benefits Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Model Risk Management (MoRM) is responsible for holistic management of model risk. This includes the independent validation of internal models as well as the identification and the monitoring and controlling of model risk. Within MoRM, the Portfolio Models and Alpha validation team is responsible for the validation of all portfolio models developed for Credit Risk (including validation of the Alpha factor designed to capture wrong way risk in derivatives transactions), Business Risk, Operational Risk and Risk Type Diversification. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Independent validation of models and model changes Performance of quantitative analyses including presentation to relevant committees as well as internal and external auditors Enhancement of existing validation concepts Ensure adherence to model risk standards like SR11-07 Your skills and experience Academic degree in Mathematics, Statistics, Physics, Econometrics or similar discipline Ability to explain mathematical concepts and results in laymans terms Professional experience 2-7 yrs in Operational risk and Portfolio Risk model development or validation are a requirement Excellent mathematical abilities and an understanding of Linear Algebra, Calculus, Partial Differential Equations, Monte-Carlo Methods, Historical Simulation Methods, finite difference methods and numerical algorithms, statistics, or mathematical finance. Proficient use of programming languages (Python, Matlab, R, C++,) as well as experience in Machine Learning IT affinity; proficient user of MS Office Proficiency and experience in data analysis and evaluation and understanding of IT processes Very good knowledge of Monte Carlos methods and modeling/validation of portfolio models Experience in risk management is beneficial Business fluent written and verbal skills in English, German language skills are beneficial How we ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

:" 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 . 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 data science, 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 us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using data science, econometrics, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, business representatives from chemical, lubricants, and fuels value chains, and demand planners globally to develop, deliver, and apply computational tools, models, or software to support our business. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial and logistics problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Bachelor’s, Master’s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 2 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Specialization in at least one sub-domain, such as time series forecasting, econometrics, statistics, or NLP. Proficiency in Python and R, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Knowledge of supply chain operations, including demand planning, inventory optimization, vehicle routing, and network optimization. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

We are the computational advertising team in the AI & Research organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, among others. Our work entails building large-scale machine learning systems for user response modelling, ranking, and a number of other ML-driven business problems. You will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. You will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production 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 gain a basic understanding of a broad area of research and applicable research techniques. You will also develop a basic knowledge of industry trends and share your knowledge with immediate team members. You will apply strategies provided by senior team members. Following guidance from team leaders you will also research relevant tools and technologies being used in the community. You will reinforce a positive environment by learning and adopting best practices. And you will maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked. You will assist with documentation for senior team members, as needed. You will also learn and follow ethics and privacy policies while executing research processes or collecting information. Qualifications Required Qualifications: Bachelor'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 Master's Degree 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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Solid understanding of probability, statistics, machine learning, data science. Experience with A/B testing & analysis of ML models, and optimizing models for accuracy. Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models. Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Experience implementing machine learning algorithms or research papers from scratch. Solid experience with TensorFlow/PyTorch and deep learning models is a prerequisite. 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. #MicrosoftAI 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.

Our Purpose Title and Summary Analyst, Risk Management Overview: Mastercard has approximately $68B in credit exposure to financial institutions and other counterparties worldwide, placing the CRM role as a key part of its evolving and quickly growing business model. The magnitude and strategic nature of this exposure necessitates periodic engagement with senior management, Mastercard s sales, franchise, and product organizations as well as our customers (issuers, acquirers, etc.). This provides great opportunities to learn and grow your career within Mastercard. Role: Monitor 24x7 global customer exposures. Prevent any losses to the broader organization by adequately monitoring CEM volumes as per existing and new procedures. Accurately, adequately, and swiftly inform risk managers, Directors or VPs in case of urgencies (bankruptcies, insolvencies, negative news etc.). Follow the escalation matrix and procedures, as well as precedents identified. Follow up with account managers and customers on open settlement positions, coordinating to determine if they are genuine or a reconciliation issue. Participate in various process improvement initiatives and best practices sharing. Ad hoc analytics, interface with advanced data analysts to seek automation when requests become recurrent. Help prepare external and internal CRM-related reporting (SEC filing, audit committee, ad hoc reporting). Propose process enhancements and automation when possible. All About You: Preferable graduate/postgraduate degree in business, economics, econometrics or equivalent. Experience in credit risk assessment and/or financial statements analysis (nice to have). Accuracy, self-drive, accountability and sense of urgency. Outstanding written and verbal English communication skills. Advanced Excel, Word, and PowerPoint user. Positive attitude, strong work-ethic, and good sense of humor. Flexibility, as this position requires working in shifts.

We are looking for an exceptional candidate to lead a portfolio of programs in the domain of data analytics, data engineering, reporting and insights, in the Data Analytics Services team of GSS. You will be responsible for scaling and overseeing company-wide programs focussed around data analytics services. You will have the opportunity to drive the analysis behind various product, engineering and operations related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in leading multiple data-driven projects. You will be leading a team of program managers in the domains of data analytics, data engineering and reporting, as we'll as help manage large vendor operations across multiple sites in driving this charter forward. ---- What You Will Do ---- Program delivery leadership - lead multiple data analytics programs at Uber, with the scope including (but not limited to) Metrics and KPI design and development BI, dashboards and reporting solutions design and development Data engineering for analytics - pipelines, data mart design and implementation Analytical deep dives, insights generation Insights for experimentation (eg, A/B testing) and other product initiatives Vendor delivery management - develop, manage and maintain vendor relationships and delivery in the domains of data analytics, including their delivery performance and quality, vendor talent sourcing and selection, managing cost and financials, run vendor transitions when needed Team management - develop, coach and mentor the team (including team leads) consisting of data analytics/engineering program managers and analysts, and enable their career development and performance management Stakeholder management - engage with and actively manage the business relationships with Uber (and when needed, external) stakeholders across product, operations, engineering and other teams globally, with the ability to represent Data Analytics Services deeply, and the rest of GSS capabilities in general as we'll Innovation and thought leadership - identify opportunities for automation and self service products and solutions in the data analytics domain, leverage leading disruptive technologies like genAI, and implement them at scale to realize business impact Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Culture champion - participate at GSS level overall, to drive organizational culture ---- What You Will Need ---- 10+ years of experience in the domains of data analytics, data engineering, reporting, insights generation - both from a technical perspective as we'll as in a consultative manner - solving for complex problems at scale Technical familiarity and experience with leading data analytics tools and softwares (python, SQL, google suite and others) Experience in stakeholder management - with internal or external client stakeholders at senior levels, ability to engage strategically as we'll as manage tactical governance Excellent team management and supervisory skills Familiarity with managing vendors, or deep experience working in a client-vendor setup Strong ability to communicate, bring clarity of thought in messaging for senior management as we'll as broader teams Track record of driving innovation and continuous improvement in data analytics services Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones ---- Preferred Qualifications ---- Education in technical domains like engineering, econometrics, statistics, business management Familiarity with software product/tech domain is a plus Strong business acumen, willingness to take smart risks and grow Ability to get hands-on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Experience in handling large teams, and senior tenured reportees Familiarity with genAI tech and tools, industry-leading ML capabilities as they apply to data analytics, is a plus. Ability to understand what new tech/tools can do, and be able to apply them in the context of business Good prioritization and time management skills

Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of large language models, user data, Microsoft Graph, and the web to drive unparalleled creativity and productivity. We are a small, nimble team that is advancing the state of the art of models in M365 Copilot. Come join our team and help transform the LLM experience in the enterprise. We are seeking an Applied Scientist with stellar research and system building skills and the desire to pursue the cutting edge in model development that pushes technological boundaries. We are looking for candidates with interest and experience in language model training, reinforcement learning, and supervised fine-tuning. We provide a nurturing environment to support passionate researchers and engineers in technology innovation. We seek candidates that excel in deep thinking, advanced development, and fast-paced entrepreneurial execution in a collaborative setting. In this role, you will have the opportunity to work with researchers and engineers at Microsoft to push forward the product roadmap and to impact businesses. We firmly believe in building and fostering a diverse and inclusive work environment. We practice open communication and respectful dialogue. We support multiple social and career building opportunities in our team. 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 Train and deploy Language Models adapted to specific industry needs. Create and adapt novel training and fine-tuning algorithms for language models. Identifies, researches, and implements machine learning solutions given product requirements. Brings a research project to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems. Document and share best practices across the organization. Supports mentorship by assisting with onboarding of research interns or other entry-level team members. Embody our culture and values. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. 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: Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field OR equivalent experience. 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.

Principal Applied Scientist Noida, Uttar Pradesh, India Date posted Apr 29, 2025 Job number 1819285 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 Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for you to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world. Qualifications Educational Background: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or other related technical field (e.g., mathematics, physics, statistics, or similar). Experience: At least 8+ years of industry experience, with strong proficiency in coding in Python for software development and data science. (Experience with additional programming languages is a plus but not required.) Skills: Proficiency in Python-based machine learning frameworks and libraries such as PyTorch and TensorFlow, and experience developing and deploying generative AI or machine learning models into production. Strong communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences. Problem-Solving: Demonstrated ability and motivation to understand complex business contexts and to solve hard, open-ended problems. A proactive mindset in tackling challenges and optimizing solutions to deliver business impact. Additional or Preferred Qualifications Advanced Degree (Preferred): Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 9+ years of related experience; OR Doctorate in one of the above fields and 6+ years related experience; OR equivalent industry experience. Research & Publications: 5+ years of experience contributing to research publications (e.g., patents, academic papers, open-source libraries) that showcase innovative thinking and technical depth. Research Excellence: 5+ years of experience conducting original research as part of a formal research program (in academic or industrial settings), with proven ability to drive insights from concept to execution. Production Deployment: 3+ years of experience developing and deploying live production systems as part of a product team, ensuring solutions are scalable, reliable, and maintainable. Product Lifecycle Experience: 3+ years of experience contributing to products or systems at multiple stages of the development lifecycle, from initial ideation and prototyping to final production deployment and ongoing iteration. Responsibilities Research and Development: Develop a deep understanding of state-of-the-art tools, technologies, and methods in the research community and product groups. Design and implement fundamental technologies, and drive applied research to enable better search and information retrieval experiences for consumers and enterprises alike. Project Management: Drive projects end-to-end, from design through implementation, experimentation, and ultimately shipping features to users. Own the development of state-of-the-art machine learning and deep learning algorithms leveraging text, images, and video for analyzing and transforming content to build world-class search and AI products. Collaboration: Work in a diverse, geographically distributed team environment where collaboration and innovation are valued. Partner closely with cross-functional stakeholders (engineering, research, product management) to define project goals, success criteria, and deliverables, ensuring alignment and shared vision. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing (NLP), and related fields. Explore new opportunities and tackle emerging challenges to keep our products on the cutting edge. Lead the team to continuously improve solutions (e.g., enhancing the precision and recall of intelligent systems or bot detection algorithms) by incorporating new signals, data sources, and algorithms. 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.

Principal Data Science Manager Hyderabad, Telangana, India Date posted Jun 11, 2025 Job number 1819369 Work site Microsoft on-site only Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you an experienced Principal Data Science Manager , with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you! We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows! We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices. 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 Doctorate 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) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts. 10+ years of experience as a practicing Data Scientist. Exceptional teamwork and values that foster a positive team culture. Experience in collaborating with teams across different time zones and geographies. Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Experience in one or more programming languages, preferably C#, Python or Java. Experience in mentoring less experienced data engineers and helping to set a positive team culture. Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills. Excellent oral and written communication skills and ability to "tell compelling stories" through data. Preferred Qualifications Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL. A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+Djobs #Windows, #Windows India, #Data Science Responsibilities As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs. Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved. 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.