Data Scientist

As a Senior Data Scientist, you will conduct statistical modeling, exploratory data analysis, and collaborate with product and engineering teams to integrate data science projects.

• 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.

Expectations of AI Use in this role (required):

Judgement & Creativity:

1. Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas
2. Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster
3. Applies both judgment and creativity when working with AI and understands its limitations

Curiosity & Initiative:

1. Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role
2. Has developed or shared AI-enhanced workflows, automations, or prompts with others

Integration & Productivity:

1. Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work
2. Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design
3. Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot i.e. to improve speed, clarity, or creative output

#LI-Remote

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. 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. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $161,000-$190,000 USD All Other US Locations: $140,000-$175,000 USD, In-Office or Remote 2 Locations 70K-87K Annually Senior level 70K-87K Annually Senior level Fintech * Machine Learning * Payments * Social Impact * Software * Financial Services As a Sr. Data Scientist, you will lead complex initiatives in machine learning, mentor team members, drive technical roadmaps, and enhance code quality while solving challenging technical problems. Top Skills: AWSNumpyPandasPythonPyTorchSagemakerTensorFlow DoubleVerify, Energy The Data Scientist III/Sr/Principal role focuses on leading complex analytics initiatives, developing analytical solutions, and enforcing coding standards within the business intelligence team, utilizing SQL, Python, and R. Top Skills: DatabricksPysparkPythonRSQL

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With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That's why we built the Healthcare Map - the industry's largest, most complete, precise view of the U.S. healthcare system - by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare's most complex questions for our partners. Across the healthcare ecosystem, we're helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver "wow," and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease - and enjoy the journey along the way. The Opportunity at Komodo Health The Analytics Consulting team at Komodo Health specializes in providing advanced analytics solutions to healthcare organizations, leveraging real-world data to drive insights and decision-making. Our data scientists build analytics pipelines/tables and complex logic for projects that address customer needs. 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., At Komodo, we're not just witnessing the AI revolution - we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work - from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You'll Work Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary - some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.