Senior Data Scientist - Remote, ML & Strategy Lead

MAXIMUS; Bozeman (MT); Remote; USD 153,000 - 182,000; Full time

Job summary

MAXIMUS is seeking a senior data analytics professional in Bozeman to lead data-driven decision making. The role emphasizes applying machine learning, feature selection, and advanced statistics to forecast trends and improve outcomes.

You will collaborate with business users, manage projects, and guide peers with deep SME insight into data and analytics. As a senior contributor, you’ll expand data collection methods, automate anomaly detection, and monitor model performance while staying current

Qualifications

• Bachelor's degree or equivalent experience with 7+ years in data analysis/science.
• Advanced machine learning knowledge and algorithms such as k-NN, Naive Bayes, SVM.
• Experience with data visualization tools and SQL-based data work.
• Strong communication skills and ability to lead data-driven initiatives.

Responsibilities

• Interpret results with data aggregation, statistics, and mining.
• Select features and build/refine classifiers using ML techniques.
• Act as SME in data/analytics for peers and stakeholders.
• Identify suitable decision tech like optimization, regression, trees, neural nets.
• Use statistics to forecast trends and maintain reliable predictions.
• Expand data collection to build robust analytical systems.
• Develop automated anomaly detection and monitor model performance.
• Lead project management and team communications for timely delivery.
• Stay updated on emerging tech to grow team expertise.
• Drive expansion into other MAXIMUS strategic areas.

Skills

Machine learning

SQL

Data analysis

Statistical methods

Data visualization

Leadership

Communication

Education

Bachelor's Degree or equivalent experience

MS/PhD in Statistics/Mathematics/OR/CS - Machine Learning or related field

Tools

Cloud computing tools

Relational databases

Job description

MAXIMUS is seeking a senior data analytics professional in Bozeman to lead data-driven decision making. The role emphasizes applying machine learning, feature selection, and advanced statistics to forecast trends and improve outcomes.

You will collaborate with business users, manage projects, and guide peers with deep SME insight into data and analytics. As a senior contributor, you’ll expand data collection methods, automate anomaly detection, and monitor model performance while staying current