363 Econometrics Jobs - Page 13

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 Apr 17, 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.

Hello Everyone, Urgent job opening for Associate Analyst @ GlobalData(Hyd) :- Job Description given below please go through it & understand requirement. (Looking for immediate joiners) if requirement is matching to your profile share your updated resume @ mail id (mehaboob.shaik@globaldata.com). Mention Subject Line :- Associate Analyst @ GlobalData(Hyd) Share your details in the mail:- Your Full Name : Mobile # : Current Location : Highest Qualification : Stream : College name : University name : year of passout : Job Description :- Position Overview: Associate Analyst We are seeking a talented and motivated Associate Analyst to join our Economic Research Division. The Associate Analyst will play a crucial role in supporting the team in conducting economic research, analyzing data, and generating actionable insights to assist our clients in making informed decisions. Responsibilities: Conduct Economic Research : Assist in conducting in-depth research on macroeconomic trends, industry dynamics, and policy developments at both national and global levels. Data Analysis: Collect, organize, and analyze economic data using statistical techniques and econometric models. Interpret findings and prepare reports highlighting key insights. Forecasting: Support senior analysts in developing economic forecasts and scenarios based on historical data, current trends, and external factors affecting the economy. Report Writing: Produce macroeconomic PESTLE, PEST, and Country Outlook Reports, and contribute to research reports, press releases, and presentations summarizing findings, analysis, and recommendations for clients and stakeholders. Client Support : Assist in responding to client queries, providing data-driven insights, and delivering customized research solutions to meet client needs. Continuous Learning: Stay updated on latest economic theories, methodologies, and research techniques. Participate in training programs and professional development activities to enhance skills and knowledge. Core Skills Required Master's degree in Economics (mandate) Strong analytical skills with proficiency in statistical analysis and data visualization tools (e.g., Excel, R, Python). Excellent written and verbal communication skills, with the ability to distil complex economic concepts into clear and concise reports. Detail-oriented with a passion for research and intellectual curiosity. Ability to work both independently and collaboratively in a fast-paced environment. Ability to manage own time and workload effectively. Prior experience in economic research, financial analysis, or consulting is a plus. Familiarity with economic databases (e.g., Bloomberg, FRED) and econometric software (e.g., Stata, EViews) is desirable. Familiarity with MS-Office applications, especially with Word and Excel Demonstrated tenacity/persistence, curiosity, sense of urgency, and creativity. Education: Master's degree in economics. Commitment to D&I and EEO: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, GlobalData is proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less Thanks & Regards, Mehaboob Shaik (Human Resources)

We are seeking a highly motivated Quantitative Researcher to join our investment management team in Bengaluru. The role involves developing and implementing quantitative models, conducting research on financial markets, and leveraging data-driven insights to enhance investment strategies. Job Roles & Responsibilities: Develop, test, and optimize quantitative trading and investment strategies. Conduct statistical analysis, backtesting, and risk assessments on financial datasets. Work with large datasets to extract meaningful insights and improve predictive models. Implement machine learning and data science techniques to enhance portfolio performance. Collaborate with traders, portfolio managers, and technology teams to refine trading algorithms. Stay updated with market trends, economic indicators, and quantitative research advancements. Qualification and Experience: 2-5 years of experience in quantitative research, algorithmic trading, or financial modeling. Strong programming skills in Python, R, C++, or MATLAB. Expertise in statistical analysis, econometrics, and time-series modeling. Experience with SQL, NoSQL, or big data frameworks is a plus. Familiarity with financial instruments, risk models, and portfolio optimization techniques. Bachelors or Master's in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field preferred.

Job Description In Scope of Position based Promotions (INTERNAL only) Job Title Risk Reporting Specialist, AS Location Pune, 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 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 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 3-5 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 bachelor s 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 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 About us and our teams Please visit our company website for further information https//www. db. com/company/company. htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

An expert coder to write codes in SQL, Python to build scalable enterprise level data science solutions in Marketing Mix Modelling and Revenue Growth Management and to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics Ability to write codes to build Regression Models, Machine Learning Models [ Ridge, Lasso, Logistic Regression, Bayesian Regression, Random Forests, XGBOOST, Optimization, Simulation ] at scale and then deploy models in production on cloud platforms using Airflow Leading, Mentoring, Coaching data scientists on key technical and domain topics through solution and code reviews to meet business objectives End to end accountability of quality of recommendations, insights and data science solutions developed and deployed in the organization globally You can prioritize multiple work assignments multi-task conflicting priorities and meet deadlines Excellent written and verbal communication. Good facilitation and project management skills You connect the dots - Understands business needs, business questions and identifies the right analytics capabilities to solve them Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division/Global Analytics Leads Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders You are a collaborator - Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions Work collaboratively with the Division Analytics/Global Analytics team and business partners across geographies located in different time zones. You are an innovator - Drive new value from insights by connecting external and internal data sources Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc. Qualifications What you ll need Bachelor degree required [ Masters or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics) 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment Experience in setting up or managing a data science team is a must [ 2+ years ] Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data) Experience in supporting and working with multi-functional teams in a dynamic environment Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity Ability to independently plan and execute deliveries and be comfortable in a client / business facing role Exceptional communication & collaboration skills to understand business partner needs & deliver solutions. What you ll need (Preferred) Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI Experience with Databricks, Docker, Azure Data Factory Experience with machine learning API on cloud services: Azure, AWS, Vertex AI

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities You will be part of a world-class Data Engineering team, where you will: influence product teamsinform Data Science and Analytics Platform teamspartner closely with data consumers and producers to ensure quality and usefulness of data assets You will be involved in strategizing measurement, collecting data, and generating insights. This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy. Qualifications Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including: Defining metricsInstrumenting loggingAcquiring/ingesting dataArchitecting & modeling dataTransforming dataEnsuring data quality, governance, and enablementAlerting, visualization, and reportingDeveloping at scale and improving efficiency Minimum Qualifications / Your Background Bachelor’s degree (or equivalent work experience) in a STEM fieldProficiency in Python or other modern programming language development experienceProficiency in SQL and relational databases experience Desirable Qualifications Post-graduate degree (or equivalent work experience) in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science) and 1-2 years of work experience in Data Engineering or related fieldAn understanding of the SaaS business model and data structuresExperience in Databricks and DBTExperience in Enterprise Software product development Our Perks & Benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

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. 1+ years of financial or non-financial risk industry experience.

About this role BlackRock Global Markets (BGM) brings together BlackRock s global trading, financing and financial resource management, securities lending, ETF markets, cash management, and index investments businesses to deliver investment, trading, financing, and risk management excellence for clients. Trading Research is a team within the Global Trading group which conducts cutting edge market microstructure research, performs pre- and post-trade analysis and provides analytics for its stakeholders. In this function Trading Research cuts across the regions and asset classes. It partners with Trading Data, Analytics, Trading Desks as well as the active and passive investment teams to deliver best execution and superior investment performance. The Trading Research team is seeking to hire a Quantitative Analyst located in Gurgaon or Mumbai. We are a small, close-knit team with a collegiate culture that values openness, creativity and attention to detail. The role involves working closely with the other team members to contribute to the team s research and enhance the quality of its analytics. The successful candidate will possess strong data science and research skills in their field and a willingness to apply their skills in a financial markets and trading context. The role offers excellent opportunities to build knowledge of trading market structure across asset classes and collaborate with researchers, traders and portfolio managers from fundamental, model-based and passive investment teams. Responsibilities: Perform data analysis, identify outliers, spot trends, and build analytics models using various types of financial data Apply both traditional econometrics tools and machine learning techniques to solve real world problems in trading Get familiar with and assist in market microstructure and execution research Conduct pre- and post-trade analysis in collaboration with other trading researchers globally Recalibrate, maintain and improve the current suite of models and automated trading processes Stay informed of market developments to adapt our analytics framework and trading models Build close ties with the trading data, analytics and research teams in India and globally Qualifications: Bachelor s or Master s degree in a subject with quantitative content (Masters preferable) 3-6 years of Related experience in data science for financial service firms and excellent data analysis skills. Exposure to AI/ML is a plus Keen interest in the field of investments or trading. Prior knowledge in economics, financial markets and/or market microstructure is a plus High motivation and willingness to acquire new skills on the job Excellent communicator with ability to explain research in simple terms Effective team player who works independently and confidently engages with trading and investment teams Professional and respectful work ethics Strong coding skills, ideally some Unix experience and proficiency in a programming language or statistical application like Python or R Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com / company / blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

About this role About this role BlackRock is one of the world s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares ETFs. About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview: We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 3-6 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline - master s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com / company / blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

We re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you re a high performer who s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. R esponsible for designing, developing, and deploying intelligent agents using LangChain and LangGraph frameworks to optimize conversational AI workflows. Build, deploy, and optimize data models focused on generative AI and large language models. Create and refine methods to measure AI model performance and impact. Collaborate with product and engineering teams to integrate AI solutions (e.g., Gemini, OpenAI, Azure AI). Stay current on advances in data science, machine learning, and generative AI. Mentor junior data scientists and engineers. Communicate clearly with stakeholders, presenting insights and recommendations. Apply statistical, econometric, and machine learning methods to generate actionable insights and support decision-making. Identify, integrate, and leverage key data sources to enhance analytics. Develop scalable data structures and analytic products. Lead end-to-end analytics projects including data gathering, feature creation, modeling, deployment, and monitoring. Provide insights to encourage data-driven decision-making throughout the organization. Mentor teams on data science best practices and contribute thought leadership through blogs or articles. Develop and deliver training on analytics tools and data science techniques (e.g., Alteryx, Tableau). Explore and apply new data science tools and methodologies to maintain innovation. Qualifications: Bachelors degree required; advanced degree ( Master s or Ph.D.) in Data Science, Statistics, Econometrics, Computer Science, or related field strongly preferred. 5+ years of professional experience as a Data Scientist, particularly within areas such as Sales, Finance, Product, Strategy, or Marketing in the software or technology industry. Strong programming skills in Python and R, including familiarity with advanced analytics libraries and frameworks. Expertise in a wide array of statistical methods, econometrics, machine learning algorithms, artificial intelligence, and predictive analytics. Proven experience developing scalable analytic data strategies and robust analytic products. Proficiency with visualization tools such as Tableau and experience in business analytics platforms like Alteryx. Familiarity with data pipelines, ETL processes, cloud databases, data warehouses (e.g., Snowflake), and data lakes. Experience deploying analytics solutions in cloud environments (GCP, AWS & Azure ). Strong communication skills, with the ability to clearly articulate complex analytic concepts and results to business stakeholders. Excellent problem-solving and interpersonal skills, capable of independently managing multiple projects in a dynamic environment. Find yourself checking a lot of these boxes but doubting whether you should applyAt Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we re invested in building teams with a wide variety of backgrounds, identities, and experiences . This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant s capacity to serve in compliance with U.S. export controls.

Data Axle India is recognized as a Great Place to Work! This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive. General Summary: We are looking for an Associate Director, Data Scientist, to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects. Roles Responsibilities : Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture. Design or enhance ML workflows for data ingestion, model design, model inference and scoring. Oversight on team project execution and delivery. Establish peer review guidelines for high quality coding to help develop junior team members skill set growth, cross - training and team efficiencies. Visualize and publish model performance results and insights to internal and external audiences ","jobQualifications":" Qualifications: Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering). Minimum of 12+ years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred). Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.). Proficiency in Python and SQL required; PySpark/Spark experience a plus. Ability to conduct a productive peer review and proper code structure in Github. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like). Working knowledge of modern CI/CD methods ","

"Overview Analyst- Media Project Management About us We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world Omnicom s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services Our agency brands are consistently recognized as being among the world s creative best Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data analytics), Market Research, Business Support Services, Media Services, Consulting Advisory Services We are growing rapidly and looking for talented professionals like you to be part of this journey Let us build this, together > Responsibilities This is an exciting role and would entail you to Handling competitor requests Creating DDS codes Providing econometrics support, including collating spends Performing reconciliations Managing OOH bookings on the system Briefing PCAs and setting up skeleton documents Building PCAs based on specialist data sharing Qualifications This may be the right role for you if you have Minimum of 3 years experience in a digital background Proficiency in Excel and PowerPoint Excellent communication skills with a proactive, can-do attitude Ability to keep the onshore team informed without requiring follow-up Strong confidence with mathematics and Excel to analyse data and digital performance metrics Proven attention to detail Ability to meet deadlines and communicate effectively with various teams to manage expectations Strong logical thinking and outstanding project management skills High levels of integrity, autonomy, and self-motivation Excellent analytical, organizational, project management and time management skills Proficiency in MS Excel, PowerPoint

Who we are At Twilio, we re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you re part of a vibrant, diverse team making a global impact each day. As we continue to revolutionize how the world interacts, we re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as our next Data Science Manager, dedicated to elevating our Marketing Strategy with Media Mix Modelling. About the job We are seeking a Data Science Manager to lead our Media Mix Modeling (MMM) efforts within the global marketing organization. This role is highly visible and will play a crucial part in shaping our media investment strategy, optimizing our marketing budget, and driving business growth. We are looking for someone who is both hands-on with data science and strategic in approach. You will partner with marketing, sales, finance, and product teams to generate actionable insights, enhance media performance, and improve marketing ROI. If you are an expert in MMM, proficient in Python and SQL, and experienced with tools like Meta s Robyn and Google s Meridian, this role is for you. Responsibilities In this role, you ll: Develop, validate, and maintain Media Mix Models (MMM) to measure the effectiveness of various marketing channels, including digital, TV, radio, OOH, and offline media. Conduct advanced statistical and econometric analysis to quantify marketing effectiveness, forecast the impact of future marketing activities and recommend optimal budget allocations. Partner with marketing, sales strategy and finance teams to translate model insights into actionable recommendations for campaign planning and budget allocation whilst ensuring insights align with broader business objectives. Work with engineering teams to build scalable and automated pipelines for data ingestion, model training, and reporting as well as ensuring the availability of clean, structured, and reliable marketing data. Explore and implement advanced modelling techniques such as Bayesian MMM, hierarchical modelling, and causal inference. Present findings and insights to senior stakeholders, communicating complex concepts in a clear and actionable way. Stay up to date with industry trends, emerging MMM methodologies, and data science best practices. Qualifications Required: 8+ years of experience in marketing analytics, econometrics, or data science with a strong focus on marketing measurement. Strong expertise in econometrics and regression modelling techniques with hands-on experience of Meta s Robyn or Google s Meridian packages. Proficiency in Python and SQL for data analysis and modelling. Proven track record of influencing marketing strategies through data-driven insights. Solid understanding of digital and traditional media channels and their role in marketing effectiveness. Strong communication and storytelling skills to translate analytical findings into business impact. Demonstrated ability to present findings to both technical and non-technical audiences, with experience leading key technical projects. Preferred: Experience with Bayesian modeling, causal inference, and advanced statistical techniques. Prior experience in B2B marketing analytics. Prior experience in a consulting or marketing agency environment is a plus, demonstrating the ability to apply MMM insights in diverse business contexts. Location This role will be based remotely in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi). What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. Thats why we seek out colleagues who embody our values something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if youre ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isnt what youre looking for, please consider other open positions . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law. Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@twilio.com .