Data Scientist

MTS Moose Tech Solutions; Fort Meade (MD); On-site; 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

Clearance Required:

TS/SCI with Full Scope Poly

Overview

This position is for a government subcontractor. This position requires US Citizenship.

Position Responsibilities

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Required Degree and Experience

Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience

Required Skills

• Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
• Develop experiments to collect data or models to simulate data when required data are unavailable.
• Develop feature vectors for input into machine learning algorithms.
• Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
• Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
• Oversee the development of individual analytic efforts and guide team in analytic development process.
• Guide analytic development toward solutions that can scale to large datasets.
• Partner with software engineers and cloud developers to develop production analytics.
• Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Salary and Benefit Information

Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range. Our organization values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off