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Senior Data Scientist

At Included Health, we are redefining how people navigate healthcare by applying AI to solve real-world challenges. From building conversational agents powered by LLMs to creating predictive systems that support better health outcomes, we're on the forefront of using AI to make healthcare more accessible, efficient, and personalized.


We're currently focused on scaling our AI-driven chatbot applications, improving their accuracy and reliability, and expanding their ability to address complex member needs. This role offers the chance to work on impactful, technically challenging problems that directly improve the healthcare experience for millions.


Duties and Responsibilities:
  • Lead the planning and execution of AI solutions that simplify healthcare navigation.
  • Influence cross-functional teams and roadmaps through technical expertise and value assessment.
  • Ensure AI products, including LLM-based agents, are accurate, scalable, and impactful in real-world applications.
  • Apply strong product thinking to align AI solutions with user needs, business goals, and the overall vision.
  • Mentor team members to maximize their impact.
  • Champion best practices in data science and drive the adoption of emerging architectures.


Qualifications:
  • Proven experience delivering impactful AI products, particularly in LLM-driven applications.
  • Solid background in machine learning principles, including evaluation best practices.
  • Proficient in Python, with experience writing production-level code that integrates with backend services (e.g., APIs, microservices).
  • Familiarity with emerging LLM architectures and technologies, and the ability to align them with product goals.
  • Comfortable with deploying, maintaining, and monitoring machine learning models in production environments.
  • Strong analytical and problem-solving skills.
  • Effective communicator with experience working in cross-functional teams.


Physical/Cognitive Requirements:
  • Prompt and regular attendance at assigned work location.
  • Ability to work shifts of at least 8 hours, 5 days per week.
  • Ability to thrive in a fast-paced, high-intensity work environment.
  • Ability to remain seated in a stationary position for prolonged periods.
  • Requires eye-hand coordination and manual dexterity sufficient to operate keyboard, computer and other office-related equipment.
  • No heavy lifting is expected, though occasional exertion of about 20 lbs. of force (e.g., lifting a computer / laptop) may be required.
  • Ability to interact with leadership, employees, and members in an appropriate manner.


Pay:


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


Zone A: $161,410 - $228,000 + equity + benefits

Zone B: $177,551 - $250,800 + equity + benefits

Zone C: $193,692 - $273,600 + equity + benefits

Zone D: $209,833 - $296,400 + 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.


Benefits & Perks:


In addition to receiving a great compensation package, the compensation package may include, depending on the role, the following and more:


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.


About Included Health


Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.


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Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

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CEO of Included Health
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Average salary estimate

$228905 / YEARLY (est.)
min
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$161410K
$296400K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Scientist, Included Health

If you're a Senior Data Scientist looking to make a real impact in the healthcare industry, Included Health is your next destination! This remote opportunity allows you to leverage your expertise in artificial intelligence to tackle real-world challenges and improve healthcare navigation for millions. At Included Health, we're on a mission to revolutionize healthcare by harnessing advanced machine learning techniques, including LLM-driven chatbots. As a key player in our team, you'll lead the planning and execution of AI solutions while collaborating with cross-functional teams to ensure our products meet the highest standards of accuracy and scalability. You'll mentor your peers and champion best practices in data science, making a lasting impact on our projects. Your strong analytical skills and ability to translate complex technical concepts into actionable insights will be crucial, ensuring that we align our AI solutions with user needs and our business goals. The role offers an exciting mix of innovation, collaboration, and the chance to drive meaningful changes in healthcare. If you're passionate about using technology to make a difference and want to be part of a vibrant remote-first culture, we can’t wait to hear from you!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Included Health
What are the responsibilities of a Senior Data Scientist at Included Health?

As a Senior Data Scientist at Included Health, your responsibilities include leading the development of AI solutions, particularly focusing on LLM-driven applications. You will work closely with cross-functional teams to ensure the accuracy and scalability of our AI products, mentor team members, influence project roadmaps with your technical expertise, and champion best practices in data science.

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What qualifications do I need to apply for the Senior Data Scientist position at Included Health?

To apply for the Senior Data Scientist position at Included Health, you should have proven experience in delivering impactful AI products, especially those based on LLMs. A solid background in machine learning principles, proficiency in Python, and experience with production-level code are essential. Familiarity with modern LLM architectures and the ability to deploy machine learning models in production is also required.

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What is the work culture like for a Senior Data Scientist at Included Health?

Included Health cultivates a remote-first culture that emphasizes collaboration and innovation. As a Senior Data Scientist, you will thrive in a fast-paced environment, working alongside passionate team members who are committed to improving healthcare through technology. Our culture promotes flexibility, encourages professional growth, and supports work-life balance.

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What salary can I expect as a Senior Data Scientist at Included Health?

The salary for a Senior Data Scientist at Included Health varies depending on geographic zones, ranging from $161,410 to $296,400, with additional equity and benefits. Factors influencing your starting salary include your experience, education, and market demands, ensuring a competitive compensation package.

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What benefits do Senior Data Scientists receive at Included Health?

Senior Data Scientists at Included Health enjoy a comprehensive benefits package that includes competitive salaries, remote work flexibility, medical and dental coverage, a 401(k) plan, generous paid time off, paid parental leave, and support for family building. Our commitment to employee wellness is reflected in our robust and diverse benefit offerings.

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Common Interview Questions for Senior Data Scientist
Can you describe your experience with LLM-driven applications?

In responding to this question, provide specific examples of projects you've worked on involving LLM-driven applications. Discuss your role, the tools you used, and the outcomes achieved. Highlight any challenges faced and how you overcame them, illustrating your problem-solving skills.

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How do you ensure the accuracy of AI models in production?

When asked this, explain the evaluation techniques and metrics you utilize to monitor model performance. Discuss your approach to continuous learning and model improvement, including A/B testing, user feedback, and adapting to changing data patterns.

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What methodologies do you use for machine learning model evaluation?

Demonstrate your knowledge by outlining specific methodologies like cross-validation, confusion matrices, and precision-recall metrics. Discuss how you apply these methodologies to assess the effectiveness of your models and improve their performance.

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Explain your experience in collaborating with cross-functional teams.

Provide examples of successful collaborations you've undertaken, detailing your role in the process. Emphasize how you communicate technical concepts clearly to non-technical stakeholders and how you involve them in project roadmaps.

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What strategies do you employ to mentor junior data scientists?

Highlight your mentoring style by sharing specific strategies like regular one-on-one meetings, knowledge-sharing sessions, and hands-on guidance on projects. Explain the importance of helping them grow their skills and confidence in the field.

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How do you approach product thinking when developing AI solutions?

Discuss your methodology for aligning AI solutions with user needs and business goals. Talk about how you gather user requirements, conduct user testing, and iterate on feedback to ensure the final product is user-centric and impactful.

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What programming languages are you proficient in, and how have you applied them?

Mention the programming languages you excel in, particularly Python. Provide examples of how you’ve used these languages to write production-level code, work with APIs, and integrate your models into backend services.

Join Rise to see the full answer
Describe a challenging data science problem you've encountered and how you solved it.

Detail a specific challenging situation, explaining the problem, your analysis process, and the solution you implemented. This shows both your problem-solving skills and your analytical approach to overcoming obstacles.

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What do you think is the most critical emerging trend in data science?

Discuss your perspective on current trends in data science, particularly in healthcare applications. This could include advancements in LLMs, real-time data processing, or ethical AI considerations, showcasing your knowledge and industry awareness.

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How do you handle constructive criticism regarding your models?

Share your approach to receiving feedback, highlighting your open-mindedness and willingness to adapt. Discuss how you value constructive criticism as a means for continuous improvement and implementing changes to enhance model performance.

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Inclusive & Diverse
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Full-time, remote
DATE POSTED
April 11, 2025

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