SoFi is looking to solve the problem of talent and business outcomes by delivering predictive and advanced analytical capabilities that drive decisions across the employee lifecycle.
Requirements
- Strong ability to leverage a dimensional data model in Snowflake to build datasets for advanced analytics.
- Python (pandas, scikit-learn, statsmodels), SQL, and Tableau for analytics & visualization or similar tools.
- Deep expertise in statistics and data science methods (e.g., linear/logistic regression, causal inference, A/B testing, matching methods, survival/time series).
- Experience with HRIS/ATS/survey sources (e.g., Workday, Greenhouse, Qualtrics/Glint), text analytics on engagement/case data, and KPI design (e.g., quality of hire, time-to-fill, internal mobility).
- Background in I/O Psychology or psychometrics; experience with pay equity, fairness metrics, and/or differential privacy.
- Building internal tools with Streamlit or lightweight web frameworks; AWS data/ML services.
- Experience with Snowflake, dbt, Airflow, Git, and model monitoring in production.
Responsibilities
- Develop, validate, and productionize models for attrition risk, internal mobility, recruiting funnel yield, quality of hire, performance and success trajectories, engagement drivers, and workforce/headcount forecasting.
- Stand up evaluation, calibration, monitoring, and drift detection; own the model lifecycle from design through deployment and iteration.
- Design and implement segmentation, decision trees, survival/time-to-event, time series, hypothesis testing, uplift modeling, and anomaly detection to surface drivers and shape recommendations.
- Translate complex analyses into clear narratives, visuals, and recommendations for executives and frontline stakeholders; create enablement that moves decisions and outcomes.
- Partner with Analysts/COEs to design A/B and quasi-experimental evaluations of People programs (e.g., onboarding, recognition, manager training) and translate results into clear actions.
- Serve as a technical subject-matter expert, mentoring analysts on statistical methods, ML best practices, experimentation, and code quality.
- Partner with People Data Engineering to define features and governed datasets in Snowflake
Other
- Bachelor's in Computer Science, Statistics, Economics, Engineering, Data Science, or a quantitative field (Master's preferred).
- 7+ years in applied data science/ML (ideally in People Analytics, Talent, or adjacent domains) with a track record of shipping models/analyses that change decisions.
- Ability to scope ambiguous problems, balance speed and rigor, and communicate clearly with technical and non-technical partners; strong, proactive ownership.
- Experience mapping people outcomes to financial impact (productivity, efficiency, turnover cost).
- SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, gender identity, gender expression, national origin, ancestry, age, physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
