Lead the end-to-end design and delivery of high-impact data science projects — from problem framing and hypothesis generation through model development, validation, and deployment.
Develop, implement, and maintain advanced forecasting and routing algorithms, ensuring robustness, scalability, and reproducibility.
Define the technical direction for data science initiatives within the Forecasting & Routing domain, balancing long-term innovation with short-term impact.
Partner with stakeholders across the business to translate ambiguous operational needs into clear research questions and data products that drive measurable results.
Apply advanced statistical and ML techniques to complex forecasting and routing challenges.
Champion MLOps best practices, including automated model monitoring, versioning, logging, and alerting in production environments.
Collaborate closely with engineering to ensure models are deployed efficiently using tools like AWS SageMaker, dbt, and GitHub, with strong observability and CI/CD standards.
Mentor junior data scientists, contribute to peer reviews, and help shape team standards for code quality, experimentation, and documentation.
Communicate insights clearly to technical and non-technical audiences, influencing product and operational decisions through data-driven recommendations.

4–6 years of professional experience in data science, machine learning, or a related quantitative field.
Deep proficiency in Python and SQL, with proven ability to design and maintain production-grade codebases.
Demonstrated expertise in time series forecasting, predictive modeling, and causal inference.
Hands-on experience building and deploying ML models using AWS SageMaker, with strong understanding of MLOps, model monitoring, and lifecycle management.
Familiarity with Snowflake, dbt, GitHub,scikit-learn, and MLflow.
Strong understanding of experimental design, statistical inference, and uncertainty quantification.
Ability to navigate ambiguous or incomplete data, formulate hypotheses, and deliver elegant, data-driven solutions.
Excellent communication skills and ability to synthesize complex analyses into actionable recommendations for leadership.
Demonstrated ownership of projects that delivered measurable operational or business impact.
Passion for applying data science to real-world problems in mental healthcare.

Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
Employer sponsored 401(k) match of up to 2% for retirement planning
A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
We offer competitive paid time off policies including vacation, sick leave and company holidays.
At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
Up to $1,000 Professional Development Reimbursement a year.
$200 per year donation matching to support your favorite causes.

Senior Data Scientist, Forecasting and Routing

Key skills