Data Scientist, Level 2

Produce data visualizations that provide insight into dataset structure and meaning.

• Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).

• Incorporate SME input into feature vectors suitable for analytic development and testing.
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
• Develop statistical tests to make data-driven recommendations and decisions.
• 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).
• Evaluate individual analytic efforts and make recommendations in the analytic development process.
• Recommend solutions that can scale to large datasets.
• Collaborate with software engineers, cloud developers, and appropriate stakeholders to develop production analytics.
• Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph., Required Education & Years of Experience:

• Requires a Bachelor’s degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.

• A Master’s degree in relevant discipline may be substituted for two (2) years of relevant experience reducing the requirement to six (6) years of relevant experience analyzing datasets and developing analytics, and three (3) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.

• A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of twelve (12) years of relevant experience analyzing datasets and developing analytics, and nine (9) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

$161,800.00 - $175,000.00 / yr paid time off, sick time, 401(k), retirement plan, remote work, ** Starting salary is based on minimum education and years of experience and increases based on education and/or experience., * Health Insurance: Comprehensive medical, dental, and vision plans.

• Retirement Plan: 401(k) with company match.
• Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
• Professional Development: Opportunities for training, certifications, and career advancement.
• Work-Life Balance: Flexible work schedules and remote work options.
• Wellness Programs: Employee assistance programs, wellness initiatives, and gym membership discounts.

Why Join Us?

• Career Growth: Take advantage of professional development opportunities and career advancement. As a vital part of impactful projects, you will have the chance to drive innovation and shape the future of government systems engineering.
• Supportive Environment: Work in a collaborative and flexible environment that values work-life balance. Join a team of top-tier professionals and engage in dynamic, cross-functional collaboration. Your strategic mindset and proactive approach will be highly valued and supported.
• Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package. We recognize and reward your expertise and dedication to excellence.