Perform scientific work associated with analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
Use large data sets to find opportunities for product and process optimization.
Use models to test the effectiveness of different courses of action.
Use predictive modeling to increase and optimize customer experience, efficiencies, process improvements, and other business outcomes.
Mine and analyze data using a variety of data tools.
Build and implement models using/creating algorithms and creating/running simulations.
Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Drive business results with data-based insights.
Ability to work independently and troubleshoot challenges.
Communicate analytic findings and recommendations to non-technical stakeholders, verbally and through written reports.
Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract.
Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.

5+ years of related experience
Bachelor’s Degree in data science, or related field
Proven experience developing machine learning models and engineering features using Python, PySpark, SQL, R, Databricks
Machine learning with regularization models (especially LASSO)
Experience with Model Tuning and Governance
Able to create complex queries in SQL for testing and data analysis
Experience developing ML pipelines and with ML Operations
Experience with the following tools: MLFlow, GitHub, Docker
Must be able to work with engineering teams to source the right data, evaluate system performance
Problem-solving attitude
Logistic regression
Well-versed in statistical theory
Generalized estimating equations

Senior Data Scientist

Key skills