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Senior Data Scientist, Ranking Solutions

Senior Data Scientist, Ranking Solutions

Headway - Design & DevelopmentNew York, NY, United States
1 day ago
Job type
  • Full-time
Job description

About the Team

The mission of our Ranking team is to ensure every patient can find the right provider tailored to their needs. We are developing the sophisticated matching system that facilitates this connection, encompassing search, discovery, ranking, and personalization. Our ambition is to integrate state-of-the-art machine learning with an in-depth understanding of both patient and provider experiences.

About the Role

We are seeking a Senior Data Scientist to enhance the way we connect patients with suitable therapists. In this role, you will assess both the product experience and the foundational ML systems that assist patients in finding their ideal clinician. Your research will drive our comprehension of matching performance and inform our prioritization of experiments aimed at improvement. You will collaborate closely with engineering teams to translate your findings into tangible improvements to the patient experience. This is an exceptional opportunity to apply scientific rigor and empathy to a crucial problem : facilitating access to effective, personalized mental healthcare.

What You'll Do

  • Evaluate the effectiveness of our search and ranking systems using both offline and online metrics.
  • Create frameworks to assess relevance, conversion signals, and long-term patient outcomes.
  • Conduct exploratory research to uncover new search and ranking signals, as well as opportunities for personalization.
  • Collaborate with machine learning engineers to transform research insights into production-ready models and features.
  • Work together with product, clinical, and engineering teams to define success metrics and guide experimentation.
  • Communicate findings, recommendations, and business implications clearly to both technical and non-technical stakeholders.

What We’re Looking For

  • A PhD or Master's degree in Statistics or a related quantitative field.
  • 3-6 years of experience in data science, applied machine learning, or a related area.
  • Strong skills in Python, SQL, and experimentation / causal inference techniques.
  • Familiarity with ranking, search, or recommendation systems (e.g., relevance modeling, click modeling, LTR methods).
  • Ability to navigate ambiguous, open-ended research questions and translate findings into actionable insights.
  • Exceptional communication skills that enable you to explain complex concepts simply and establish trust across teams.
  • A genuine passion for improving access to mental health care and enhancing patient outcomes.
  • Nice to Have

  • Experience with large-scale search or recommendation evaluation frameworks (e.g., NDCG, MAP, offline / online A / B testing).
  • Understanding of fairness or bias evaluation in machine learning systems.
  • Compensation & Benefits :

    The anticipated base pay range for this position is $215,900 - $254,000, depending on various factors including qualifications, experience, and geographic location. In addition to a base salary, this role may qualify for performance-based variable compensation and an equity grant, contingent on the position and level.

    We are dedicated to providing a comprehensive and competitive total rewards package, which includes robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

  • Benefits offered include :
  • Equity compensation
  • Medical, Dental, and Vision coverage
  • HSA / FSA
  • 401K
  • Work-from-Home Stipend
  • Therapy Reimbursement
  • 16-week parental leave for eligible employees
  • Carrot Fertility annual reimbursement and membership
  • 13 paid holidays each year, plus a Holiday Break during the week between December 25th and December 31st
  • Flexible PTO
  • Employee Assistance Program (EAP)
  • Training and professional development
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    Senior Data Scientist • New York, NY, United States

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