Senior Data Scientist, Analytics

Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter! 

About the Senior Data Scientist - Analytics Role at Headspace Health:

We are looking for an experienced analyst that can immediately contribute to our product and is passionate about helping people be their best selves. You will be working closely with our data science, product, care, and customer success teams in particular. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders.

How your skills and passion will come to life at Headspace Health:

• Focus on what we can do with our AI engine outputs / feature data (both to stakeholders in Looker as well as product) and what features we should consider building in ML moving forwards.
• Work with organizations in Headspace Health to understand analytical needs, consult with your technical knowledge, build data models, and present analysis insights. 

Examples include:

• Working with coaching and clinical functions to address care-related quality assurance, measuring treatment effectiveness, assessing operational efficiency, forecasting both supply and demand.
• Teaming with product functions to better understand product engagement, feature use patterns, etc.
• Partner with machine learning engineers to validate and evaluate machine learning model outputs in both development and production environments, providing quantitative recommendations to stakeholders based on the evaluation.
• Realize Headspace Health’s data lake potential by building and prototyping analysis tooling (e.g. Looker connect with Python) that unlocks new classes or insights from varied data sources.
• Develop expertise on mental healthcare data sets and lead their modeling to enable insights.
• Design experiments and determine appropriate statistical approaches to answer specific data science, product, clinical care or business questions.
• Foster a culture of broad access to data and autonomy in obtaining answers by implementing dashboards and other tools that help your data customers extract, analyze, and visualize data easier and faster.
• Use appropriate tools (e.g. Python, R) to analyze and visualize data.
• Maintain and add to existing analytics infrastructure (Looker).

What you’ve accomplished:

• MS with 3+ years of experience (or BS with 5+ years of experience) in statistics, data science or appropriate quantitative fields.
• Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS).
• Experience in analyzing data statistically using Python.
• Strongly prefer someone with industry experience working with machine learning and data engineering teams, product teams, consumer marketing, or customer facing teams.
• Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company.
• Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling.
• Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker).
• Strong communication skills and business acumen - translate key metrics into the language of stakeholders , and contextualize results within the data customer’s domain.

How to get started:
If you’re excited by the idea of seeing yourself in this role at Headspace Health, please apply with your resume and a cover letter that best expresses your interest and unique qualifications.

How we feel about Diversity & Inclusion:

Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. 

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. 

*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.

Headspace Health participates in the E-Verify Program.

Headspace Health participates in the E-Verify Program.

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