Tiger Analytics

Lead Data Scientist

Tiger Analytics

full-time

Posted on:

Location Type: Hybrid

Location: ChicagoIllinoisUnited States

Visit company website

Explore more

AI Apply
Apply

Job Level

About the role

  • Design, develop, and deploy advanced forecasting models (ARIMA, SARIMA, Prophet, and other time series techniques) for healthcare-related use cases including PMPM forecasting.
  • Analyze structured and large-scale healthcare datasets (claims, membership, utilization, cost data) to generate actionable insights.
  • Build scalable, production-ready ML pipelines and automate forecasting workflows.
  • Perform model validation, back-testing, hyperparameter tuning, and performance monitoring to ensure accuracy and stability.
  • Translate business problems into data science solutions and clearly communicate findings to clients and stakeholders.
  • Lead end-to-end project execution, mentor junior data scientists, and ensure best practices in modeling and MLOps.
  • Collaborate cross-functionally with engineering, product, and business teams to drive data-driven decision-making.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • 6–8 years of experience in Data Science, Machine Learning, or Advanced Analytics.
  • Strong expertise in time series forecasting techniques such as ARIMA/SARIMA, exponential smoothing, and other statistical models.
  • Hands-on experience in PMPM forecasting and healthcare analytics (claims, cost, utilization data preferred).
  • Proficiency in Python (pandas, numpy, stats models, scikit-learn) and SQL for data analysis and modeling.
  • Experience in deploying models to production and building automated data pipelines (MLOps exposure preferred).
  • Strong understanding of statistical concepts, model evaluation metrics (MAPE, RMSE, etc.), and model interpretability.
  • Excellent communication skills with experience engaging business stakeholders or clients.
  • Proficiency in building data pipelines using tools such as Airflow, Databricks, Spark, or similar frameworks.
  • Experience working in agile environments with cross-functional collaboration.
Benefits
  • This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
time series forecastingARIMASARIMAPMPM forecastingPythonSQLMLOpsmodel validationhyperparameter tuningmodel evaluation metrics
Soft Skills
communicationleadershipmentoringcollaborationproblem-solvingcoachingstakeholder engagementproject executiondata-driven decision-makingteamwork