Data Scientist Level 2

Base-2 Solutions; Maryland; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Employee referral bonuses up to $10, 0

Company-paid health premiums

401(k) with company match

Job summary

Base-2 Solutions is seeking a Data Scientist Level 2 to support the VISTA (MT&E Team). This role develops machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets, build and evaluate models, generate data-driven insights, and support the integration of analytics into production workflows.

The position partners with subject matter experts, software engineers, and cloud developers to translate mission needs into scalable analytic solutions.

Qualifications

• 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 and hypothesis testing.
• Knowledge of machine learning algorithms and frameworks such as TensorFlow and Scikit-Learn.
• Data wrangling and transforming complex datasets into usable formats.
• Experience with SQL and databases like PostgreSQL and MongoDB.
• Experience with data visualization tools such as Tableau and Matplotlib.
• Bachelor's degree in a quantitative discipline and 5 years of analytics experience.

Responsibilities

• Produce data visualizations and insights from dataset structures.
• Develop scripts to extract information from SQL tables, structured metadata, and logs.
• Create feature vectors from SME input for analytics development.
• Translate qualitative analysis into quantitative software solutions.
• Develop and apply statistical and ML techniques for descriptive, predictive, and prescriptive analytics.
• Conduct statistical tests to support data-driven decisions and recommendations.
• Design experiments to collect data or simulate data when needed.
• Identify algorithms suitable for datasets and tune model parameters.
• Evaluate analytics using metrics like ROC curves and confusion matrices.
• Guide analytic development toward scalable production analytics with software engineers.

Skills

Python

R

Statistics

Machine Learning

Data wrangling

SQL

Tableau

Matplotlib

TensorFlow

Scikit-Learn

Education

Bachelor's degree in a quantitative field

Master's degree (preferred)

PhD (optional)

Associate degree (relevant)

High school diploma with related experience

Tools

TensorFlow

Scikit-Learn

PostgreSQL

MongoDB

Tableau

Matplotlib

SAS

MATLAB

Job description

• Required Security Clearance: Top Secret/SCI with Full Scope Polygraph
• Location: Annapolis Junction, MD
• Work Type: On-Site
• Shift: First

• Requisition ID: 3457
• Standard Title: Junior Data Scientist
• Required Security Clearance: Top Secret/SCI with Full Scope Polygraph
• Location: Annapolis Junction, MD
• Work Type: On-Site
• Shift: First
• Referral Eligibility: Eligible
• U.S. Citizenship Required? Yes

Position Summary

Base-2 Solutions is seeking a Data Scientist Level 2 to support the VISTA (MT&E Team). This role develops machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets, build and evaluate models, generate data-driven insights, and support the integration of analytics into production workflows. The position partners with subject matter experts, software engineers, and cloud developers to translate mission needs into scalable analytic solutions.

Essential Duties And Responsibilities

• Produce data visualizations that provide insight into dataset structure and meaning.
• Work with subject matter experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats, including SQL tables, structured metadata, and network logs.
• Incorporate SME input into feature vectors suitable for analytic development and testing.
• Translate customer qualitative analysis processes and goals into quantitative formulations 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, including cross-validation, ROC curves, and confusion matrices.
• Oversee the development of individual analytic efforts and guide the team in the 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.

Required Qualifications

• Active TS/SCI with Full Scope Polygraph.
• Proficiency in programming languages such as 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, such as TensorFlow and Scikit-Learn.
• Ability to perform data wrangling, including cleaning, transforming, and organizing complex datasets into usable formats.
• 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.

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.

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.

Required Certifications

• None specified.

Required Security Clearance

• Active TS/SCI with Full Scope Polygraph.

Pay & Benefit Highlights

Compensation

• 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).

Health

• 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.

Income Protection

• 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.

Retirement

• 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
• 401(k) pre-tax and Roth options.

Leave

• Up to 20 days of flexible paid time off (PTO).
• 11 paid floating holidays.

Work-Life Balance

• Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).