Senior Data Scientist (Remote)

Essential Duties and Responsibilities:

- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.

- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance

- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.

- Identify the most suitable decision technology techniques to apply within various analytical frameworks.

Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.

- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions

- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.

- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.

- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.

- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.

- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.

- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.

- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance

- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.

- Identify the most suitable decision technology techniques to apply within various analytical frameworks.

Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.

- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions

- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.

- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.

- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient...