Mission-Critical Data Scientist (TS/SCI) - ML & Analytics

MTS Moose Tech Solutions; Fort Meade (MD); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Family health, dental, and vision benefits

Employer-paid disability

Paid-time off

Paid parental leave

401(k) plan with employer contribution

Employee Stock Option Plan (ESOP)

Flexible time off

Reasonable hours

Low travel requirements

Job summary

A government subcontractor is looking for a Data Scientist to develop machine learning and data mining algorithms for various datasets. The role involves creating models, conducting experiments, and implementing algorithms within production frameworks. Candidates should have a degree in a quantitative field and considerable experience in analytics tools. The position offers a supportive work environment, excellent benefits, and flexible hours, making it suitable for professionals wishing to balance work and life responsibilities.

Qualifications

• US citizenship is required for this position.
• Bachelor's or higher degree in a quantitative discipline.
• Strong background in machine learning and data analysis.

Responsibilities

• Develop and implement machine learning algorithms.
• Generate reports summarizing datasets.
• Partner with experts for data analysis automation.

Skills

Programming experience with data analysis software (R, Python, SAS, MATLAB)

Design experiments for data collection

Develop feature vectors for ML algorithms

Identify and tune algorithms

Evaluate analytics performance

Guide large-scale analytic solutions

Collaborate with software engineers

Machine learning system development

Education

Bachelor's degree in a quantitative discipline

Master's degree + 5 years of experience

PhD + 2 years of experience

Job description

A government subcontractor is looking for a Data Scientist to develop machine learning and data mining algorithms for various datasets. The role involves creating models, conducting experiments, and implementing algorithms within production frameworks. Candidates should have a degree in a quantitative field and considerable experience in analytics tools. The position offers a supportive work environment, excellent benefits, and flexible hours, making it suitable for professionals wishing to balance work and life responsibilities.