Data Scientist II

The Data Science team helps shape strategy at Included Health by turning data into product, operational, and business decisions that advance the Quintuple Aim of healthcare: better member experience, stronger outcomes, lower costs, clinician well-being, and health equity. We partner closely with product, engineering, clinical, operations, and finance to understand member needs, improve features, and drive impact across the business.

We’re looking for a Data Scientist II with strong analytical judgment, business intuition, and the ability to: frame ambiguous problems, define success metrics, work cross-functionally, and deliver clear recommendations that influence decisions. This is a great opportunity for someone who is excited by healthcare, motivated by impact, and eager to build expertise across multiple domains.

• Drive insight generation for complex projects both independently and in collaboration with cross-functional teams.
• Develop models of cost and quality in support of our navigation and match services
• Identify opportunities to better engage and navigate members so that we can drive top quartile outcomes at bottom quartile costs.
• Develop a deep understanding of how our products are being used and identify opportunities to better serve our members’ needs.
• Prototype novel approaches to measuring or inferring product and business performance.
• Scale our impact so we can bring our services to more people in need.

• 5+ years of work experience in highly quantitative roles or equivalent and relevant advanced degrees.
• Ability to effectively communicate complex quantitative patterns into robust narratives to support business decisions.
• Strong proficiency in SQL and one or more programming languages (Python, R)
• Experience designing and analyzing product experiments (A/B testing) including defining success metrics, interpreting results, and translating findings
• Ability to independently drive results working on complex, ambiguous projects with a major quantitative component.
• You thrive within collaborative environments and working with teams that include Product and Engineering.

• Previous experience in digital health or a high-growth startup
• Experience building internal tools or infrastructure to support machine learning experimentation and deployment.
• Experience developing data products leveraging Large Language Models (LLMs)

The United States new hire base salary target ranges for this full-time position are:

Zone A: $120,050 - $156,070 + equity + benefits

Zone B: $132,055 - $171,677 + equity + benefits

Zone C: $144,060 - $187,284 + equity + benefits

Zone D: $156,065 - $202,891+ equity + benefits

This range reflects the minimum and maximum target for new hire salaries for candidates based on their respective Zone. Below is additional information on Included Health's commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.

Starting base salary for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone's unique market conditions to ensure that all employees receive fair and great compensation package based on their roles and locations.

Your Recruiter can share your geographic zone upon inquiry.

Remote-first culture

401(k) savings plan through Fidelity

Comprehensive medical, vision, and dental coverage through multiple medical plan options (including disability insurance)

Paid Time Off (PTO) and Discretionary Time Off (DTO)

12 weeks of 100% Paid Parental leave

Family Building & Compassionate Leave:
Fertility coverage, $25,000 for surrogacy/adoption, and paid leave for failed treatments, adoption or pregnancies.

Work-From-Home reimbursement to support team collaboration home office work

Your recruiter will share more about the salary range and benefits package for your role during the hiring process.