Description and Requirements Key Responsibilities: Apply advanced statistical algebra, linear algebra, and optimization techniques to improve model accuracy and performance. Conduct hypothesis testing, feature engineering, and model validation using rigorous statistical methods. Develop and implement advanced analytics and machine learning solutions using Python, R, SQL, and leading ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Apply statistical techniques, hypothesis testing, feature engineering, and modeling to deliver robust, data-driven insights and predictive models. Leverage NLP technologies including spaCy, Transformers, and OCR to build intelligent text-processing and language-understanding solutions. Drive innovation in Generative AI through the use of large language models and prompt engineering to create cutting-edge applications. Ensure clear communication and structured problem-solving, translating complex technical concepts into compelling narratives for stakeholders. Engage and influence business partners and stakeholders, providing actionable insights and fostering collaboration across teams. Lead and develop talent, promoting engagement and growth within the team to build high-performing analytics and AI capabilities. Develop predictive models for churn prediction, and lead scoring aligned with workflows. Collaborate on Power BI dashboards to operationalize insights for business stakeholders. Ensure adherence to GDPR and Regional Data policies for all ML workflows. Mentor junior team members and lead technical design discussions. 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

• Provide substantive, timely feedback to students on various assessment activities • Maintain a positive, safe, inclusive student-centric learning environment • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics) • Maintain appropriate professional training and/or scholarly activities, when applicable • Provide feedback to the course lead regarding the course content • Identify at-risk students and collaborate with student services

• Support the end-to-end lifecycle of data-driven agentic solutions, from data exploration to development, deployment, and monitoring • Gain hands-on experience building AI agents and cloud-based solutions • Collaborate across teams to apply best practices and reusable components • Learn and apply LLMs, programming languages, and tools used by the team • Execute analytical and modeling tasks as part of a larger project team • Develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making • Review and discuss AI/modeling techniques and results with peers and mentors • Contribute to stakeholder communications by preparing summaries, documentation, and analysis

Site: The General Hospital Corporation Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The Obstetrics and Gynecology Department at Massachusetts General Hospital is seeking a Data Scientist to provide analytic and project management support for its reproductive health research initiatives. The Data Scientist position requires strong project management and data analytic skills, experience with large healthcare datasets (claims, electronic health records, etc), close attention to detail and timelines, discretion in handling sensitive information, and strong interpersonal skills. The candidate will perform data management, statistical analysis, and report preparation to facilitate the analysis of and interpretation of healthcare data. The position offers significant involvement in an exciting area of research and a collaborative research environment. Our research group uses data generated from the routine delivery of healthcare to learn about care delivery, evaluate the effectiveness of medical interventions, and generate evidence that can inform patients, providers and policy makers. Ultimately, we seek to conduct studies that result in improved care for pregnancy, cancers of the female reproductive organs, infertility, and other issue that affect persons with female reproductive organs. Job Summary Summary Responsible for analyzing data, uncovering the underlying data patterns and logic, and developing data-driven applications. They will work towards developing solutions for the entire problem-solving cycle: find/prioritize the problems, research the best algorithms to solve the problems, design robust, practical solvers, and implement them. Does this position require Patient Care? No Essential Functions -Analyze complex and high-dimensional clinical and operational data for dependencies, patterns, outliers, inaccuracies, and validity. -Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. -Contribute to the design and evaluation of optimal data-driven metrics (such as physician/facility performance criteria, bottleneck metrics, productivity limits, processing delay/error reports, etc.). -Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. -Generate and test hypotheses and analyze and interpret the results. Qualifications Education Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred Can this role accept experience in lieu of a degree? Yes Experience Experience working in data science-type positions and with large data sets 2-3 years preferred Knowledge, Skills and Abilities - Ability to create reports and dashboards with Tableau. - Skilled in data analysis with Python and SQL. - Knowledge of statistics. - Knowledge of machine learning. - Preferred SQL database management and administrative knowledge. - Practiced knowledge of numerical optimization algorithms. Additional Job Details (if applicable) Remote Type Remote Work Location 265 Charles Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $75,275.20 - $109,553.60/Annual Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: 1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.