Data Scientist Level 2

Base-2 Solutions is seeking a Data Scientist Level 2 to support the VISTA (MT&E Team) by building and assessing machine learning, data mining, statistical, and graph-based analytics. The role converts mission requirements into scalable production analytics through collaboration with subject matter experts and engineering or cloud teams.

Responsibilities

• Produce data visualizations that clarify dataset structure and meaning.
• Partner with SMEs to identify key information within raw data and develop scripts to extract insights from multiple data formats, including SQL tables, structured metadata, and network logs.
• Incorporate SME input into feature vectors for analytic development and testing.
• Translate customer qualitative analysis processes and goals into quantitative formulations implemented in software prototypes.
• Develop and implement statistical, machine learning, and heuristic techniques to support descriptive, predictive, and prescriptive analytics.
• Create statistical tests to enable data-driven recommendations and decisions.
• Design experiments to collect required data or build models to simulate data when data is not available.
• Build feature vectors for machine learning algorithm input.
• Select appropriate algorithms for a given dataset and tune input and model parameters.
• Evaluate and validate analytic performance using standard methods and metrics, including cross-validation, ROC curves, and confusion matrices.
• Oversee individual analytic efforts and guide the analytic development process for the team.
• Direct analytic work toward solutions that can scale to large datasets.
• Work with software engineers and cloud developers to deliver production analytics.
• Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Requirements

• Active TS/SCI with Full Scope Polygraph.
• Proficiency in Python and R for data manipulation, analysis, and algorithm implementation.
• Strong foundation in statistics and probability, including regression analysis, hypothesis testing, and statistical distributions.
• Knowledge of machine learning algorithms and frameworks, including TensorFlow and Scikit-Learn.
• Ability to perform data wrangling, including cleaning, transforming, and organizing complex datasets.
• Familiarity with SQL and database management systems such as PostgreSQL and MongoDB.
• Experience with data visualization tools such as Tableau and Matplotlib.
• Bachelor’s degree from an accredited college or university in a quantitative discipline, such as statistics, mathematics, operations research, engineering, or computer science.
• Five (5) years of experience analyzing datasets and developing analytics.
• Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• U.S. citizenship required.

Preferred Qualifications

• Experience partnering with software engineers and cloud developers to develop production analytics.
• Experience guiding analytic development efforts toward scalable solutions for large datasets.
• Experience translating customer qualitative analysis processes into quantitative, software-based solutions.

Technologies

• Python, R
• TensorFlow, Scikit-Learn
• SQL, PostgreSQL, MongoDB
• Tableau, Matplotlib
• SAS, MATLAB

Benefits

• Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
• Employee referral bonuses up to $10,000 per hired referral.
• Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
• 100% company-paid medical premiums for employees and eligible dependents.
• Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
• 100% company-paid dental premiums for employees and eligible dependents.
• 100% company-paid vision premiums for employees and eligible dependents.
• 100% company-paid premiums for short-term disability.
• 100% company-paid premiums for long-term disability.
• 100% company-paid premiums for accidental death & dismemberment (AD&D).
• 100% company-paid premiums for life insurance up to $200,000.
• 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
• 401(k) pre-tax and Roth options.
• Up to 20 days of flexible paid time off (PTO).
• 11 paid floating holidays.
• Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

Location, Work Type, and Schedule

• Location: Annapolis Junction, MD
• Work type: On-Site
• Shift: First
• Location (stated): United States (onsite)

Additional Information

• Requisition ID: 4923
• Standard Title: Junior Data Scientist
• Referral eligibility: Eligible
• Required certifications: None specified

Required Education and Experience Equivalency

• High School Diploma/GED with 9 years of experience.
• Associate Degree with 9 years of experience.
• Bachelor’s Degree with 5 years of experience.
• Master’s Degree with 5 years of experience.
• PhD with 1 years of experience.