REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Principal Data Scientist
XX
Principal Data ScientistHispanic Alliance for Career Enhancement • Providence, Rhode Island, United States
Jetzt Bewerben
XX

Principal Data Scientist

Hispanic Alliance for Career Enhancement
  • US
    Providence, Rhode Island, United States
  • US
    Providence, Rhode Island, United States
Jetzt Bewerben

Über

Position Summary We’re building a world of health around every individual. 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 simplify health care one person, one family, and one community at a time.
Principal Data Scientist – Woonsocket, RI
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 (e.g., pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (e.g., 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, create reports, and manipulate data using statistical software, comparing models using statistical performance metrics.
Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses.
Telecommuting is available. Multiple positions are open.
Requirements
Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field.
Four (4) years of experience in the job offered or related occupation.
Three (3) years of experience in each of the following areas:
Data analytics on large data sets in healthcare, business, or retail sector
Machine learning, statistical analysis, and predictive modeling
Hadoop and Hive
R, Python, or SQL
SAS or SQL programming languages
Visualization tools, including PowerBI or Tableau
Designing data models and solutions for analytical and reporting use cases
Machine learning, statistical analysis, and predictive modeling
Compensation Pay Range: $144,200.00 – $288,400.00 per year. This position is eligible for CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above, and includes an award target in the company’s equity award program.
Benefits The company offers a full range of medical, dental, and vision benefits, a 401(k) retirement savings plan, Employee Stock Purchase Plan, fully‑paid term life insurance, short‑term and long‑term disability, well‑being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. Employees enjoy Paid Time Off, vacation pay, paid holidays, sick time, and other time off consistent with state law and company policies.
This job does not have an application deadline; applications are accepted 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.
#J-18808-Ljbffr
  • Providence, Rhode Island, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.