Responsibilities
- Delivered high-value data analytics projects.
- Implemented client solutions using techniques like advanced statistical analysis or ML for targeted therapeutic areas in our patient population.
- Developed a deep understanding of healthcare claims data.
- Constructed complex statistical and mathematical models and developed supporting platforms for their use.
- Effectively partnered with teams to translate client requirements into analytics to solve client needs with the capabilities of datasets available at Komodo.
- Worked with the data science team to scale our solutions, automate code, and centralize complex logic for reusability. Advocated for good engineering practices within the team.
- Presented findings, insights and analytical results to internal and external partners for client deliveries, as well as the larger DS function for continued growth and learning.
- Worked with clients to creatively resolve issues and further develop analyses.
Requirements
- Bachelor's degree (Master's or PhD degree preferred) in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science) or equivalent practical experience.
- Analytical mindset and the ability to solve complex problems with limited supervision.
- At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation).
- Familiarity with PySpark and R.
- Experience working with a large anonymized patient level healthcare databases (preferably administrative claims or EHR).
- Comfort communicating complex data science topics to audiences of variable technical capability.
- Proficient with complex topics in ML modeling, advanced statistics/biostatistics, algorithm design and knowledge of ML software packages.
- Ability to work well both independently and collaboratively in a fast-paced and demanding agile environment.
- Interest in growing skills as a Data Scientist and being willing to learn and teach as part of a team.
- Strong business acumen demonstrated by a good understanding of how analytics insights (preferably in healthcare analytics) tie into business goals.
- High motivation, work ethic, and self-discipline to organize and complete tasks.
Benefits
- comprehensive health, dental, and vision insurance
- flexible time off and holidays
- 401(k) with company match
- disability insurance and life insurance
- leaves of absence in accordance with applicable state and local laws and regulations and company policy
Work Arrangement
Hybrid
Additional Information
- This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan.
- This role may also be eligible for equity awards.
- This notice explains how we collect, use, and retain applicant data.
