Sr. Decision Scientist at CVS Health

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

173040.0

Posted On

21 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Machine Learning, Statistical Analysis, Predictive Modeling, R, SQL, Python, PowerBI, Tableau, Jenkins, Git, Hadoop, Spark, PySpark, Scala, NLP

Industry

Hospitals and Health Care

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: Aetna Resources, LLC., a CVS Health company, is hiring for the following role in New York, NY: Sr. Decision Scientist to consult with internal clients to identify opportunities to develop and implement data science solutions to business problems by transforming data into meaningful information. Duties include: apply data mining, data modeling, machine learning, statistical analyses, and predictive and descriptive modeling to extract and manipulate data from multiple large data sources and inform solutions for data science teams; utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data and effectively communicate insights to inform business decisions; compare modeling techniques using statistical performance metrics and recommend improvements; structure data analysis to drive analytics insights and help data scientists determine the best analytical solutions; visualize, interpret, and report data findings to internal clients and leadership; collaborate with business partners to understand requirements and develop statistical analysis and predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes; design and develop data science solutions using industry leading tools, technologies and best practices; mentor junior team members; and consult on the creation of analytics solutions that effectively weigh business strategy and technical tradeoffs relevant to big data environment. Telecommuting available. Multiple positions. Requirements: Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, 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; • Marketing analytics, clinical trials, or health research; • Analytics experience within the healthcare, business, or retail sector; • Machine learning, statistical analysis, and predictive modeling; • Programming in R, SQL and Python; • 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) and Spark, Airflow, Kafka, Hbase, Pig, or NoSQL; • PySpark, Scala, or Java; • Designing data models and solutions for analytical and reporting use cases; • Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); • Large-scale Spark, Data Warehouse, or Big Data implementation; and • Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design. Pay Range: $109491.00/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. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Responsibilities

Consult with internal clients to develop and implement data science solutions that transform large data sets into meaningful business insights. Design predictive models and data architectures to evaluate health metrics and inform strategic business decisions.