Zachary Piper Solutions is seeking a Senior Data Scientist to join a Federal Program located on a remote schedule. The Senior Data Scientist will perform scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.

Responsibilities of the Senior Data Scientist:

Perform scientific work associated with the 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
Communicate analytic findings and recommendations to non-technical stakeholders, verbally and through written reports

Qualifications of the Senior Data Scientist:

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), and other packages in Amazon SageMaker AI
Able to create complex queries in SQL for testing and data analysis
Experience developing ML pipelines and with ML Operations
Experience with Model Tuning and Governance
Experience with the following tools: MLFlow, GitHub, Docker
Must be able to work with engineering teams to source the right data, evaluate system performance
Data Science experience with healthcare and/or claims analysis

Compensation for the Senior Data Scientist:

Salary Range: $110,000 - $120,000+ flexible based on experience
Comprehensive Benefits: Medical, Dental, Vision, PTO, and Sick Leave as required by law
Unlimited opportunities for growth
Opportunity for travel

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