Description and Requirements Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science Role Value Proposition: Data Scientist plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical skills, machine learning. It is an individual contributor role Job Responsibilities • Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data • Perform exploratory data analysis, feature engineering • Monitor, evaluate and improve model performance. • Ensure model development follows quality, security , compliance, explainability and responsible use of AI guidelines, • Collaborate with multiple partners from Business, Technology , Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights) Knowledge, Skills and Abilities Education Bachelor's degree in computer science , information technology or equivalent educational qualification Technical Skills and Experience • 3 - 5 + years of relevant experience • Python • Statistics, hypothesis testing, Feature engineering, Modeling • Machine learning frameworks: SCikit -learn, Tensorflow , Pytorch , • Natural language processing (NLP): spacy, Transformers, OCR • Generative AI: Large language Models, prompt engineering • Communication skills, analytical skills, structured problem-solving skills., Good to Have (Preferred) • Azure ML or cloud AI/ML Services About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! #BI-Hybrid

• Lead measurement strategy for Zillow’s Elevate on-site ads business, including KPIs, advertiser value, pricing and placement insights, and revenue impact. • Build and scale incrementality, lift testing, and experimentation frameworks across advertiser segments, markets, and product surfaces. • Connect Elevate measurement to Zillow’s broader marketing science ecosystem, including MMM, attribution, forecasting, and budget allocation decisions. • Manage, coach, and grow a high-performing team of data scientists through clear expectations, feedback, hiring, and career development. • Set technical direction for scalable, production-ready analytics and modeling systems in partnership with Data Engineering. • Influence leaders across Product, Commercial, and Marketing by translating technical findings into clear business recommendations. • Lead through ambiguity by balancing rigor and speed, including contributing hands-on to high-leverage problems when needed. • Drive thoughtful adoption of AI-enabled tools that improve productivity while maintaining quality, governance, and data integrity.

Role Description Alexa+ is Amazon’s next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalised, and effective experience. The Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly. The Mission: - Build AI safety systems that protect millions of Alexa customers every day. - Ensure LLMs provide safe, trustworthy responses. - Build AI systems that understand nuanced human values across cultures. - Maintain customer trust at scale. We are looking for a passionate, talented, and inventive Data Scientist-II to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring good learning and generative models knowledge. You will be working with a team of exceptional Data Scientists in a hybrid, fast-paced organization where scientists, engineers, and product managers collaborate to build customer-facing experiences. You will: - Collaborate with other data scientists to understand the role data plays in developing data sets and exemplars that meet customer needs. - Analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. - Apply state-of-the-art Generative AI techniques to analyze data representation of human language. - Run experiments to gauge downstream interactions. - Work collaboratively with other data scientists and applied scientists to design and implement principled strategies for data optimization. Qualifications - 3+ years of data scientist experience. - 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.). - 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. - Experience applying theoretical models in an applied environment. - Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data. - Experience in Python, Perl, or another scripting language. - Experience diving into data to discover hidden patterns and conducting error/deviation analysis. Company Description Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Member Applied Research Data Science and Engineering team drives foundational research to advance the measurement and understanding of member value. We guide optimal product decision-making while balancing trade-offs, and connect on-the-ground needs from individual teams to holistic priorities and methods shared across the Netflix ecosystem. We are seeking a Senior Data Scientist with strong causal inference and experimentation experience to advance our understanding of member engagement with a growing variety of available content and new interaction types. In this role, you will drive foundational research, new metric development, and experimentation strategies that directly guide decision-making across the Netflix product. You’ll work in a highly collaborative and cross-domain environment with other data scientists, data and analytics engineers, and business teams to accelerate our measurement capabilities and influence our strategy. In this role, you will: - Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience a variety of content types. - Establish strong partnerships with stakeholders to ladder local developments into a holistic measurement approach. - Contribute new methodologies to our causal inference tooling. - Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making. To be successful in this role, you have: - Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitative field. - 5+ years of relevant experience focused on building and delivering real-world machine learning models with demonstrated impact. - Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings. - Strong Quantitative Programming skills in a language such as Python. - Exceptional oral and written communication skills. - Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders. - Strong product sense to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases. - Ability to work independently and drive your own projects. - Embody Netflix values while bringing a new perspective to continue to improve our culture. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.