7 часов назад
Senior Data Scientist (AI)
159 100 - 179 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Building analytical strategies and experimentation programs for a mental health care coordination and provider platform with an accent on predictive modeling, classification, clustering, and complex multi-source data analysis. Focus on designing quasi-experiments, improving scheduling and provider matching, and using AI and prompt engineering to drive measurable gains in engagement, workflow efficiency, and health outcomes.
Location: Remote; occasional travel is required for company or team events and at least twice per year for collaborative sessions and summits.
Salary: $159,100–$179,000 base salary per year, plus equity and benefits.
Company
is a global mental health company providing an AI-native platform for personalized support across self-guided tools, coaching, therapy, medication management, and specialty care.
What you will do
- Lead the analytical strategy for improving engagement, utilization, and outcomes across Spring Practice, the care coordination and provider platform.
- Apply predictive modeling, classification, clustering, AI, and advanced analytical methods to improve scheduling, provider matching, and care coordination workflows.
- Design and execute rapid experimentation programs, including hypothesis testing and quasi-experimental analysis, to evaluate workflow improvements.
- Partner with product management, design, engineering, an Analytics Engineer, and a Data Analyst to define metrics and influence the product roadmap.
- Analyze large, multi-source datasets, perform feature engineering, and source data quickly to answer critical business questions.
- Provide recommendations that improve member and provider experience, care coordination efficiency, and health outcomes.
Requirements
- 5+ years of professional data science experience.
- Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods.
- Proficiency with SQL and Python.
- Experience with data modeling using dbt or similar tools and with data visualization and BI tools such as Omni or Hex.
- Experience with product development and the software development lifecycle, plus strong written and verbal communication skills.
- Ability to use AI for complex business problems, including prompt engineering for LLMs, AI-assisted code optimization and documentation, and establishing team best practices.
Nice to have
- Experience navigating ambiguous problem areas and learning new analytical approaches.
- Proven ability to manage priorities and dependencies in a fast-paced, cross-functional environment.
Culture & Benefits
- Health, dental, and vision benefits begin on the first day, with HSA and FSA options.
- Employer-sponsored 401(k) match of up to 2%.
- Paid vacation, sick leave, company holidays, and parental leave after six months of tenure.
- Annual access to network providers for employees and dependents.
- Up to $1,000 per year for professional development reimbursement.
- Additional fertility, fitness, childcare, eldercare, wellness, and donation-matching benefits.
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