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Senior Data Scientist
Senior Data ScientistHeadway • San Francisco, CA, United States
Senior Data Scientist

Senior Data Scientist

Headway • San Francisco, CA, United States
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About the role

We are seeking Data Scientists to join our growing Data team. As a member of our Data team, you'll be responsible for the growing analytics and insights needs across the organization. You’ll work with product team leads to instrument, collect, visualize and interpret data that enables better decision-making through a deeper understanding of our business and customers. You’ll also help build deep partnerships between the Data team and the rest of the organization through analysis and other tools to empower various business stakeholders. If you are a self-starter, comfortable with ambiguity and challenging problems, excited about building a data-driven culture, and motivated by making an impact, then you will be a great fit for this role.

You will :

  • Become a trusted strategic partner to our product and engineering teams, and work with them to define analytics requirements, identify important questions, design and implement experiments, and help answer critical questions to drive strategy with data.
  • Use data to understand trends in user behavior and product usage to influence strategy, product ideation, and drive experimentation
  • Collaborate with data team members and stakeholders across the company to model data in a scalable way and present it in an impactful and digestible way that leads to better business decisions.
  • Tell compelling stories through data, articulating technical information to a non-technical audience

What will make you successful :

  • 6+ years of experience using data to solve real-world problems and drive decision-making within engineering, product or growth teams
  • Opinions about product analytics, a track record of building or driving product analytics rigor, and an understanding how your product recommendations drive business outcomes
  • High proficiency with SQL, and tools for data analysis
  • Experience developing tests and predictive analytics, synthesizing results, and building frameworks and data models to make data-informed launch decisions
  • Inherent curiosity and analytical follow-through - you can’t help but ask “why?” and love using data and logic to explore potential solutions
  • A self-starter mentality with the ability to prioritize, meet deadlines, and identify opportunities with limited oversight
  • Exceptional data storytelling abilities, as well as the ability to articulate technical information to a non-technical audience
  • Operating in a team-first environment with excellent collaboration and communication skills
  • You are motivated by our mission. We are working to solve the biggest problems in mental health care today (access and affordability.
  • Compensation & Benefits :

    The expected base pay range for this position is $183,600 - $216,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and an equity grant, depending on the position and level.

    We are committed to offering a comprehensive and competitive total rewards package, including 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 as well as a Holiday Break during the week between December 25th and December 31st
  • Flexible PTO
  • Employee Assistance Program (EAP)
  • Training and professional development
  • #J-18808-Ljbffr

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    Senior Data Scientist • San Francisco, CA, United States

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