Senior Data Scientist - Remote ML & Analytics Lead

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

Job summary

Maximus is seeking a data science leader in Billings, MT to interpret results, build predictive models, and guide analytics strategy. You will apply ML techniques, manage data collection, and oversee cross-functional projects to deliver actionable insights for business decisions.

You should have a strong background in statistics, ML algorithms, SQL, data visualization, and cloud or distributed computing, with a history of leading data-driven initiatives and communicating complex findings to

Qualifications

• Bachelor's degree or equivalent; 7+ years in data analysis/science.
• Advanced machine learning knowledge with algorithms like k-NN, Naive Bayes, SVM, decision trees.
• Experience with data visualization tools and data science toolkits.

Responsibilities

• Interpret results using data aggregation, statistics, data mining and pattern recognition.
• Build and refine classifiers using ML techniques to improve performance.
• Act as SME in data analytics and guide peers and stakeholders.
• Identify suitable decision technology techniques across analytical frameworks.
• Develop automated anomaly detection and monitor model performance.

Skills

Machine Learning

Statistics

SQL

Data Visualization

Distributed Computing

Leadership

Education

Bachelor's Degree or equivalent (Statistics/Data Science)

MS/PhD in Statistics/Math/OR/CS or Machine Learning

Tools

SQL

Data Science Toolkits

Visualization Tools

Job description

Maximus is seeking a data science leader in Billings, MT to interpret results, build predictive models, and guide analytics strategy. You will apply ML techniques, manage data collection, and oversee cross-functional projects to deliver actionable insights for business decisions.

You should have a strong background in statistics, ML algorithms, SQL, data visualization, and cloud or distributed computing, with a history of leading data-driven initiatives and communicating complex findings to