HR Data Scientist

At LifeStance Health, we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in mental healthcare.

Thank you for taking the time to explore a career with us. As the fastest growing mental health practice group in the country, now is the perfect time to join our team!

LifeStance Health Values

• Belonging: We cultivate a space where everyone can show up as their authentic self.

• Empathy: We seek out diverse perspectives and listen to learn without judgment.

• Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it.

• One Team: We realize our full potential when we work together towards our shared purpose.

Role Overview

The HR Data Scientist collaborates with HR leaders and key stakeholders to identify and address key people opportunities, driving improvements in people-related metrics through advanced analytics. This position will perform advanced analytics including predictive modeling to forecast aggregate and individual level outcomes as well as hypothesis testing to make data drive decisions. The HR Data Scientist will also support HR business intelligence dashboards and perform ad hoc analysis as needed. The successful candidate will demonstrate a deep knowledge of data analytics and visualization and will be passionate about applying these skills to people data.

Consistent with LifeStance’s values, every member of the LifeStance team is expected to support each other and the mission, which may mean participating in projects and initiatives and performing functions and responsibilities not specifically outlined in this job description.

Compensation: $90,000 - 120,000/annually

Location: Remote

Responsibilities

• Perform advanced analytics using people data from Workday combined with other relevant data across the organization.

• Build predictive models (Regression, Decision Trees, Time Series, Survival Analysis, etc.) to predict aggregate or individual outcomes.

• Use predictive models to identify critical variables that drive people outcomes.

• Recommend treatments to improve people metrics, design experiments and perform hypothesis testing to make statistically sound conclusions on effectiveness.

• Build and support HR business intelligence dashboards.

• Perform ETL as needed to support analytics and business intelligence.

Skills & Experience

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field with 3+ year of demonstrated experience building predictive models using Python or R.

  • Alternatively, a Master’s degree in the same fields with at least 1+ year of work …