Careers – Data Scientist

Data Scientist - Analytics


  • Apply your quantitative modeling skills to complex decision-making problems using noisy data coming from various data sources such as system-generated timestamped data, medical claims, electronic medical records, patient reported outcomes, surveys, finance, and marketing funnels
  • Build data-driven models to improve treatment efficacy
  • Act as a key member in defining and building the analytics pipeline to support treatment efficacy improvement
  • Work closely with stakeholders and translate data-driven findings into actionable insights

Personal Qualities and Attributes

  • Problem Solver: Ability to utilize exceptional problem-solving skills to work through different challenges in ambiguous situations
  • A thinker and a doer: someone who loves sophisticated algorithms and mathematical precision, but at the same time enjoys implementing real systems and is motivated by the prospect of improving people’s lives
  • Detail Oriented: You have an enviable level of attention to details, and catch things that others miss

Basic Qualifications

  • 4+ years of professional software development experience with at least one modern language such as Java, C++, Python, or C# including object-oriented design
  • Great SQL skills, so you can quickly tap into our data sources
  • Experience using Python data libraries like pandas, numpy, or scipy
  • Bachelor’s degree or equivalent is required

Preferred Qualifications

  • Experience building complex software systems that have been successfully delivered to customers
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
  • Ability to take a project from scoping requirements through actual launch of the project

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