Senior Data Scientist (Remote) – ML & Analytics Leader

MAXIMUS; Virginia; Remote; USD 153,000 - 182,000; Full time

Job summary

Maximus is seeking an experienced data science professional to interpret results from diverse data sources and build robust ML models that drive business decisions. You will act as a SME, guiding analysts and stakeholders while selecting appropriate analytics techniques and improving data collection practices.

The role emphasizes large-scale data, state-of-the-art ML methods, and leadership to deliver timely analytics solutions across departments, ensuring measurable ROI and impact.

Qualifications

• Strong background in machine learning and data analytics.
• Experience with large datasets and data-driven decision making.
• Proven ability to translate business needs into analytics solutions.
• Proficient in SQL and data visualization.

Responsibilities

• Interpret results with data aggregation, statistics, and mining.
• Build and refine classifiers using ML techniques.
• Serve as SME in data analytics for stakeholders.
• Identify suitable decision-analytic techniques for projects.
• Apply statistical methods to forecast trends and predictions.
• Improve data collection for robust analytics systems.
• Develop anomaly detection and monitor model performance.
• Lead project management and team communication.
• Stay updated on emerging analytics technologies.
• Drive additional strategic analytics initiatives.

Skills

Machine Learning

Statistical Analysis

Data Mining

Pattern Recognition

SQL

Data Visualization

Distributed Computing

Leadership

Communication

Education

Bachelor’s degree in Statistics

MS or PhD in related field

Tools

Python

R

scikit-learn

TensorFlow

SQL

Spark

Job description

Maximus is seeking an experienced data science professional to interpret results from diverse data sources and build robust ML models that drive business decisions. You will act as a SME, guiding analysts and stakeholders while selecting appropriate analytics techniques and improving data collection practices.

The role emphasizes large-scale data, state-of-the-art ML methods, and leadership to deliver timely analytics solutions across departments, ensuring measurable ROI and impact.