Data Scientist, Analytics Services

Key Skills

Algorithms, Data Analytics, Data cleaning / Data cleansing, Data science techniques, Machine learning techniques, Python Programming, US Healthcare Recruitment

Job Description

The Opportunity at Komodo Health

The Analytics Services 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 data 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
• Effectively partnered with customer-facing teams to translate client requirements into analytics to solve client needs with the capabilities of datasets available at Komodo
• Created a plan with the team to scale our solutions, automate code, and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
• 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

What you bring to Komodo Health:

• 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 healthcare database (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

Compensation at Komodo Health

The pay range for each job posting reflects a minimum and maximum range of pay that we reasonably expect to pay across all U.S. locations and may span more than one career level. 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 U.S. national 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.

$132,500—$182,000 USD

Where You’ll Work

Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options.

What We Offer

This position will be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors.