• Location: Remote
  • Remote: Remote
  • Type: Contract To Hire
  • Job #4722

Carex has exciting new opportunity with one of our HealthTech partners for a Data Scientist/ Software Engineer. This is a contract to hire opportunity. The ideal candidate will have experience working on collaborative software or data science projects, with proficiency in the typical tooling such as git, task tracking, etc. They should possess strong Python skills and demonstrate a solid understanding of data structures and algorithms.

What You'll Do:

  • Collaborate with team members on software and data science projects, ensuring the production of readable, quality code.
  • Utilize test-driven development methodologies to ensure robustness and reliability of code.
  • Apply strong fundamentals in data structures and algorithms to solve complex problems.
  • Demonstrate flexibility in problem-solving, whether it involves reviewing computer science conference papers, benchmarking state-of-the-art algorithms, or designing novel approaches.
  • Familiarity with statistical models and a diverse range of machine learning techniques.

What You'll Bring:

  • Bachelor's degree in Computer Science, Data Science, or related field.
  • Proven experience in collaborative software or data science projects.
  • Strong proficiency in Python programming language.
  • Experience with test-driven development and version control systems such as Git.
  • Demonstrated ability to work effectively in a team environment.
  • Excellent problem-solving skills and ability to prioritize tasks effectively.

Desirable Skills (Bonuses):

  • Experience with natural language processing (NLP) fundamentals and a variety of RAG approaches.
  • Appreciation for the challenges of building with Language Models (LMs).
  • Proficiency with our stack: AWS, PostgreSQL, Redis, Python, React.
  • Previous experience working with healthcare datasets such as payer claims data or Electronic Health Record (EHR) charts.

Carex Consulting Group is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.

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