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Senior Data Scientist - Remote

Remote / Online - Candidates ideally in
Woodbury, Washington County, Minnesota, USA
Listing for: Optum
Remote/Work from Home position
Listed on 2026-06-23
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. You will be part of a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.

Join us to start Caring. Connecting. Growing together.

Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data.

Key

Competencies
  • Reviews the work of others
  • Develops innovative approaches
  • Sought out as expert
  • Serves as a leader/ mentor

You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities
  • Inform and advise the clinical operation functions with empirical analyses that drive strategy with respect to key projects
  • Communicate complex analyses to Leaders across the organization effectively without getting bogged down in the details of the analysis. Present a clear story of these analyses in effective Executive presentations
  • Guidance on requirements and prioritization for several key projects. Act as an advisor to investigate, identify signals, technical assessments and analytically assess the impacts to our key operating metrics
  • Identify new programs (supported by evidence) that need to be undertaken and transformative initiatives that help reduce our cost structure for the long‑term
  • Collaborate with team to identify opportunities for leveraging company data to drive business solutions
  • Mine and analyze data from a host of data sources to drive optimization and improvement of product development and business strategies
  • End‑to‑end analytics pipeline that includes Data Sourcing, Cleansing, Engineering, Modeling, and Interpretation – Proposes innovative ways to analyze and solve problems by using data mining approaches on available information
  • Continue to adapt to changes based on emergence of new technologies, new competitors, artificial intelligence, and alternative sources of data
  • Self‑motivated and demonstrates an innate ability to absorb new concepts, technical frameworks, programming paradigms while employing them creatively to solve complex analytical problems

You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role and provide development for other roles you may be interested in.

Required Qualifications
  • 4+ years of experience as a programmer either in application languages like Java, C++, VB or data processing/statistical computing platforms like Spark, SAS, R, Python
  • 3+ years of data analysis experience – ability to work with huge volumes of data, disparate relational databases and schemas and design applications that efficiently scale to process hundreds of millions of observations
  • Proven solid presentation and communication skills with ability to develop high‑level executive as well deep‑dive technical presentations
Preferred Qualifications
  • Hands‑on experience with cloud‑native ETL pipeline such as ADF, Airflow, Databricks DLT
  • Experience with cloud computing and analytics ecosystems such as Azure or AWS
  • Experience building scalable business reports using Power BI or Tableau
  • Domain expertise in healthcare services, health insurance or adjacent space
  • Proficiency in distributed analytics frameworks particularly Apache Spark (PySpark or Scala)
  • Proficiency with Git and…
Position Requirements
10+ Years work experience
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