• Lead and support multiple Data Engineering teams, fostering a collaborative, innovative, and high-performance environment. • Provide technical mentorship and guidance to engineers, helping them grow their skills and capabilities. • Promote engineering best practices, code quality, and continuous improvement across teams. • Design, review, and oversee scalable data solutions using Databricks and modern cloud technologies. • Define and enforce coding standards, architecture principles, and documentation guidelines. • Conduct code reviews and provide technical feedback to ensure maintainability, performance, and reliability. • Drive initiatives focused on process optimization, automation, and engineering excellence. • Stay up to date with industry trends, emerging technologies, and best practices in Data Engineering and Analytics. • Review and validate technical deliverables to ensure alignment with engineering standards and client expectations. • Establish and improve quality assurance processes focused on data integrity, reliability, and governance. • Support the implementation of scalable and sustainable data architecture practices. • Partner with clients to understand business and technical requirements. • Act as a trusted technical advisor, ensuring solutions align with client goals and standards. • Facilitate communication between technical teams, stakeholders, and business partners to ensure successful project delivery.

• Your primary role will be to extract the maximum potential from deep learning and computer vision algorithms, transforming video streams into structured translation data. • You will work end-to-end: from aligning with the Linguists team to screen reference videos to packaging models for the Engineering team to deploy. • Actively participate in continuous improvements to multimodal LLM-based models.

Title: Data Scientist Location: Wellesley United States Job Description: We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time. Position Summary: CVS Shared Services Resources, LLC., a CVS Health company, is hiring for the following role in Wellesley, MA: Data Scientist to develop and implement analytics applications and models to transform data into meaningful information. Duties include: design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business; develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes; utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity); utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; visualize and interpret data and create reports, manipulate data using statistical software, and compare models using statistical performance metrics; and support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses. Hybrid position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: • Analyzing large data sets from multiple data sources for health care industry, products, or systems; • Marketing analytics, clinical trials, or health research; • Machine learning, statistical analysis, and predictive modeling; • Programming in R, Hadoop, or Python; • SAS or SQL programming languages; • Visualization tools, including PowerBI or Tableau; • Tools to automate CI/CD pipelines: Jenkins, GIT, or Control-M; • "Big data" platforms including Hadoop (Azure, GCP, or AWS); • Designing data architectures, including data pipelines, distributed computing engines, or machine learning infrastructure design; • Machine learning operations, including model versioning and monitoring; • Writing Extract/Transform/Load (ETL) processes; • Large-scale Spark, Data Warehouse, or Big Data implementation • Quantitative analysis techniques, including clustering, regression, and pattern recognition; and • Large data, analytics, and technology modernization initiatives. Pay Range: $97906.00/year to $173040.00/year. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Title: Data Science Senior Advisor Location: Rosemead United States Job Description: Hiring Manager: Zining Yang Job Abbreviation: BOP940_P5_E Pay Grade: Exempt - 37 Pay Range: $182,800.00 -$274,100.00 Join the Clean Energy Revolution Become a Data Science Senior Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for advancing SCE's wildfire risk modeling practice by developing and enhancing wildfire risk models, providing model risk management, and supporting innovation and experimentation of new tools and technologies. You will be working closely with various stakeholders, SMEs, project managers, and external teams to turn data into critical information that can be used to make critical business decisions. As a Data Science Senior Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future? Responsibilities - Partners with stakeholders to understand business problems and objectives and translate them into data science solutions, providing thought leadership and creativity in solving unconventional problems. - Leads and provides direction to other analytic teams across the organization, spearheads development of highly complex predictive and prescriptive models to drive data insights. - Defines new data collection sources and methods and makes strategic recommendations for data practices (collection, preparation, quality). - Establishes standards and identifies techniques to solve data quality and integrity problems. - Leads development and maintenance of models, tools and methods for highly complex analytics problems. - Engages business OUs to solve critical issues and identify optimization opportunities, performs sophisticated analytics and translates into actionable insights. - Applies machine learning concepts and authors production-level code to provide innovative ideas and research to improve decision making. - Identifies opportunities to apply data science and predictive analytics to help solve the most critical business challenges. - Establishes scalable, automated processes for large-scale data analysis, modeling, validation and - Implementation. - Leverages relationships with data science individuals at other utilities and vendors and participate and present in relevant industry forums and groups to promote SCE's approach. - A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity. Minimum Qualifications - Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics. - Seven or more years of experience in data analytics related work. *PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit. Preferred Qualifications - Master's or Ph.D. degree in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Computational Social Science. - Broad understanding of the electric utility industry and its regulatory environment, as well as the wildfire risk modeling domain, methodology, tools and data. - Five or more years hands-on experience working in data science or advanced analytics roles, including experience with machine learning algorithms, statistical modeling, and ML Ops. - Experience with simulation techniques including Agent-Based Modeling (ABM), System Dynamics (SD), Complex Adaptive System (CAS), etc. - Experience with various risk management tools and frameworks such as Probabilistic Risk Assessment (PRA), Failure Mode Effects and Analysis (FMEA), CPUC's Risk-Based Decision-Making Framework, Wildfire Mitigation Plans (WMP), etc. - Familiarity with Google Cloud Platform, Snowflake, SAP, Palantir, PowerBI, and ArcGIS. - Strong executive communication skills, including developing concise reports and presenting insights to senior leadership, delivering technical content to both technical and non-technical audiences. Additional Information - This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. - Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more. - Qualified applications 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. About Southern California Edison The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world. Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided 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. Please contact us to request accommodations at AskHR@sce.com or (626) 302-3456 and select option 2.