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CareSource

Member-first health plan: Marketplace, Medicare, Medicaid

Data Scientist 1

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A bachelor's degree in data science, mathematics, statistics, engineering, computer science, or another related field is required; equivalent years of relevant work experience may be accepted in lieu of the required education.
  • Familiarity with SQL and at least one of Python or R.
  • Ability to understand basic statistical analyses and techniques, including A/B testing, general significance testing, and sampling methodologies.
  • Working knowledge of predictive modeling and machine learning algorithms, including generalized linear models, non-linear supervised learning models, clustering, decision trees, and dimensionality reduction.
  • Working knowledge of unsupervised and deep learning methodologies, including clustering, neural networks, and transformers.
  • Working knowledge of natural language processing technologies, including optical character recognition, named entity recognition, visual learning models, and large language models.
  • Working knowledge of NLP-specific feature extraction techniques, including tokenization, embeddings, and text-based transformations.
  • Familiarity with feature engineering techniques and exploratory data analysis.
  • Familiarity with optimization techniques and artificial intelligence methods.
  • Ability to mine and analyze large quantities of structured and unstructured data and identify patterns, irregularities, and deficiencies.
  • Proficiency with Microsoft Office applications, including Excel, PowerPoint, Word, and Access.
  • Ability to work independently and within a cross-functional team environment.

Responsibilities

  • Support the creation, maintenance, and communication of analytical plans for data science projects.
  • Assist in mining and analyzing large structured and unstructured datasets.
  • Employ a wide range of data sources to develop algorithms for predicting risk, understanding drivers, and detecting outliers.
  • Support the development of visualizations that demonstrate the efficacy of developed algorithms.
  • Contribute, under guidance, to statistical validation and analysis of outcomes associated with clinical programs and interventions.
  • Collaborate with other teams to integrate with existing solutions.
  • Communicate results and ideas to key stakeholders.
  • Assist in preparing code for operationalization of end-to-end model pipelines and deliverables for business consumption.
  • Research and stay up to date on emerging technologies.
  • Perform other job-related duties as requested.

Desired Qualifications

  • Experience with cloud services such as Azure, AWS, or GCP and modern data stacks such as Databricks or Snowflake.
  • Beginner-level knowledge of developing reports or dashboards in Power BI or other business intelligence applications.

About the Company

CareSource

Member-first health plan: Marketplace, Medicare, Medicaid

CareSource provides health coverage to more than 2 million members, offering Marketplace plans as well as Medicare and Medicaid products. Its core service is delivering health insurance and related care to individuals and communities through a member-first approach, aiming to improve health and well-being over time. The company operates with a focus on affordable, accessible coverage and care coordination across states, guided by its mission to place people over profits rather than simply selling plans. Key differentiators include a long history (30+ years), a national footprint with 4,500+ employees, and an emphasis on serving members’ needs and languages while promoting equal opportunity employment. The overarching goal is to help members live healthier lives by providing comprehensive coverage and support.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Dayton, OH
Founded
1989

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