Data Scientist
Invisible Technologies
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Lead Data Scientist
Stellar Health
full-time
Posted on:
Location Type: Remote
Location: Remote • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $175,000 - $200,000 per year
Job Level
Senior
Tech Stack
PythonSQL
About the role
- Design and Execute Rigorous Experiments: Lead our scientific approach to experimentation, from hypothesis generation and statistical design to the analysis and interpretation of results. You will ensure the validity of our tests and provide clear guidance on their business impact.
- Develop and Implement Predictive Models: Design and build models to understand and influence provider behavior, such as intervention recommenders and user segmentation, and partner with engineering to tie model outputs to automated systems.
- Scale Our Experimentation System & Culture: Partner with co-leads to mature our experimentation capabilities, guiding the program from its early phases to a scaled, high-impact function. You will move beyond just executing tests to define where and why experimentation is most valuable and champion a deeply embedded culture of rigorous, data-driven learning across the organization.
- Translate Data into Actionable Insights: Convert complex analytical findings, often stemming from ad-hoc deep-dive investigations into critical business problems and hidden opportunities, into clear, compelling, and actionable insights; present these findings to business stakeholders, including our leadership team, and various departments to drive strategy and operational improvements.
- Collaborate on Data Strategy & Infrastructure: Partner with the Lead Data Scientist, analysts, and the analytics engineering team to contribute to our shared data assets, shape the data science technology stack, and guide decisions on analytical tools, data governance, experimentation governance, and quality.
- Drive a Culture of Knowledge Sharing: Actively share insights, methodologies, and findings with the Lead Data Scientist and other relevant teams to foster a collaborative environment, prevent duplicated efforts, and maximize the impact of our data.
Requirements
- A Master’s degree or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics) or equivalent practical experience.
- Extensive experience (typically 8-10+ years) as a Data Scientist delivering impactful business insights and predictive models, including demonstrated experience in a senior or lead capacity guiding complex projects and mentoring team members.
- Deep expertise in causal inference (e.g., A/B testing, quasi-experimental designs, instrumental variables), statistical analysis, predictive modeling (e.g., classification, recommenders), and machine learning techniques. Strong proficiency in Python (preferred) or R and SQL is required.
- Significant experience in product analytics, specifically the interpretation of user behavior from event-level data logs and collaborating with engineers to tie the outputs of models to automated decision-making systems.
- Exceptional ability to translate complex business problems into analytical frameworks and convert sophisticated findings into clear, actionable strategic recommendations for both technical and non-technical audiences.
- A strategic mindset with proven experience collaborating effectively with cross-functional teams (e.g., product, engineering, analysts, operations) to understand broad business objectives, identify high-impact data science opportunities, and contribute to the overall data and analytics roadmap.
- Experience or strong understanding of advanced experimentation frameworks, including multi-armed bandit testing and reinforcement learning applications is a strong plus.
- Experience or a strong understanding of MLOps principles and the lifecycle of deploying and maintaining models in production environments is a plus.
- Familiarity with healthcare data is a plus.
Benefits
- Medical, Dental and Vision Benefits
- Flexible PTO
- Universal Paid Family Leave
- Company sponsored One Medical memberships and Citibike memberships
- Medical Travel Benefits
- A monthly wellness stipend that gives employees the freedom to choose where they spend their cash, whether it be on wellness, pet care, childcare, WFH items, or charitable donations
- Stock Options & a 401k matching program
- Career development opportunities like Manager Training, coaching, and an internal mobility program
- A broad calendar of company sponsored social events that for our in-office and remote employees
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
causal inferenceA/B testingstatistical analysispredictive modelingmachine learningPythonRSQLproduct analyticsMLOps
Soft skills
collaborationstrategic mindsetcommunicationmentoringproblem-solvingknowledge sharingdata-driven learninganalytical thinkingleadershipcross-functional teamwork
Certifications
Master’s degreePhD
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