In our mission to reduce the burden of disease, our Healthcare Map™ answers healthcare's most complicated questions.
Data Scientist III
Location
United States
Posted
4 days ago
Salary
$140K - $195K / year
Job Description
Role Description
At Komodo Health, the Analytics Consulting team specializes in providing advanced analytics solutions to healthcare organizations, leveraging real-world data to drive insights and decision-making.
Looking back on your first 12 months at Komodo Health, you will have:
- 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.
Qualifications
- 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.
Requirements
- Judgement & Creativity: Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.
- Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster.
- Applies both judgment and creativity when working with AI and understands its limitations.
- Curiosity & Initiative: Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role.
- Has developed or shared AI-enhanced workflows, automations, or prompts with others.
- Integration & Productivity: Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work.
- Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.
- Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot to improve speed, clarity, or creative output.
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.
Company Description
Komodo Health's mission is to reduce the global burden of disease through smarter use of data. The Healthcare Map serves as the foundation for a powerful suite of software applications, helping answer healthcare’s most complex questions.
Job 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.
- Judgement & Creativity: Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.
- Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster.
- Applies both judgment and creativity when working with AI and understands its limitations.
- Curiosity & Initiative: Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role.
- Has developed or shared AI-enhanced workflows, automations, or prompts with others.
- Integration & Productivity: Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work.
- Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.
- Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot to improve speed, clarity, or creative output.
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.
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