Senior Data Scientist - Veterans Evaluation Services

Senior Data Scientist - Veterans Evaluation Services

Maximus is currently hiring a Senior Data Scientist to join our Veterans Evaluation Services (VES) team. This is a remote opportunity. The position is responsible for leading advanced analytics and data-driven decision-making initiatives across the organization. In this role, you will leverage your expertise in statistical modeling, machine learning, and data engineering to solve complex business problems and drive strategic outcomes. You will collaborate with cross-functional teams and influence key stakeholders through actionable insights and predictive modeling. This role focuses on advanced dashboard design (Qlik), data science projects, and data analysis projects. The key programming languages are SQL and Python. The role reports to the Director of Data and Analytics.

Due to contract requirements, only a US Citizen or a Green Card holder can be considered for this opportunity.

Essential Duties and Responsibilities:

• Perform hands-on data analysis and modeling with huge data sets.
• Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
• Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
• Create and refine features from the underlying data.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
• Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

Minimum Requirements:

• B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required.
• Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
• 5+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
• 5+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
• 5+ years programming skill in Python, Scala, Julia.
• Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
• Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.
• Experience working in an agile delivery model a plus.
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
• Ability to communicate complex ideas in a clear, precise, and actionable manner.
• Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.
• PowerBI experience a plus.

Snowflake and Snowpark experience using SQL and Python is preferred

Qlik experience is preferred

Masters degree in data science, machine learning, or related field is strongly preferred

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Minimum Salary: $120,000.00

Maximum Salary: $155,000.00