Data Scientist - Analytics

Responsibilities

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

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

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

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