Senior Data Scientist - Remote ML & Analytics Lead

MAXIMUS; Cherry Hill Township (NJ); Remote; USD 153,000 - 182,000; Full time

Job summary

MAXIMUS is seeking a senior data scientist to interpret results, build classifiers, and act as SME for analytics across teams. The role emphasizes data-driven decision making and collaboration with business stakeholders.

You will lead projects, adopt new tech, improve data collection, and ensure reliable predictions. A strong ML background, SQL mastery, and experience with large datasets are essential to succeed at MAXIMUS.

Qualifications

• 7+ years of professional data analysis/science experience.
• BS, MS, or PhD in Statistics, Mathematics, Operations Research, Computer Science, or related field.
• Strong knowledge of ML techniques and algorithms.
• Experience with data visualization tools.
• Advanced SQL and relational database skills.
• Experience with large data sets and distributed/cloud tools is a plus.
• Excellent communication and leadership in projects.

Responsibilities

• Interpret results using data aggregation, statistics, and data mining.
• Build and refine classifiers using ML techniques for better performance.
• Act as SME in data and analytics for stakeholders.
• Select suitable decision technology techniques for analyses.
• Apply statistical methods to forecast trends and account for variability.
• Expand data collection for robust analytics systems.
• Develop automated anomaly detection and monitor model performance.
• Lead project management and team communication.

Skills

Machine learning

Statistical analysis

SQL

Data visualization

Independent work

Communication skills

Leadership

Education

Statistics/Math/OR/CS degree

Tools

Relational databases

Cloud computing

Data science toolkits

Python/R

Job description

MAXIMUS is seeking a senior data scientist to interpret results, build classifiers, and act as SME for analytics across teams. The role emphasizes data-driven decision making and collaboration with business stakeholders.

You will lead projects, adopt new tech, improve data collection, and ensure reliable predictions. A strong ML background, SQL mastery, and experience with large datasets are essential to succeed at MAXIMUS.