Data Scientist

Base-2 Solutions; Bethesda (MD); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare premiums included

401(k) with company match

Flexible PTO

Job summary

Base-2 Solutions is seeking a Data Scientist to perform research-level data analytics at a customer site in Bethesda, MD. The role supports programs advancing machine learning, natural language processing, and data fusion for mission-focused big data analytics.

The Data Scientist will collaborate with researchers, engineers, and analysts to design, build, and deploy analytical platforms, share results, and contribute to publications with actionable intelligence insights.

Qualifications

• B.S. Degree in a quantitative or analytical field with 2+ years of experience, or Master's with less than 2 years.
• Experience in data science, analytics, or quantitative intelligence with progressive technical development and outcomes.
• Proficiency in Python.
• Experience deploying data science apps using Docker, Kubernetes, and/or OpenShift.
• Experience with Elasticsearch and Kibana and/or SQL.
• Experience with hybrid teams of analysts, engineers, and developers to build deployable algorithms and analytical platforms.
• Experience performing data science or research in big data that does not fit in memory.
• Track record of active learning and creative problem solving.
• Ability to analyze software development or data acquisition requirements and determine cost-effective solutions.
• Familiarity with Git or other version control technologies.
• Ability to own work and complete tasks with minimal supervision.

Responsibilities

• Design, build, and optimize a Data Science platform with a team.
• Analyze big data across national security, cybersecurity, BI, social media, and more.
• Support multiple projects and communicate results to non-technical audiences.
• Identify novel data sources to improve predictive algorithms and platform adoption.
• Leverage research design, quantitative methods, and UI concepts to deliver actionable insights.

Skills

Python

Docker

Kubernetes

OpenShift

Elasticsearch

SQL

Git

Big Data

Data Analysis

Research

Education

Bachelor's degree in quantitative field

Master's degree or equivalent

Tools

Docker

Kubernetes

OpenShift

Elasticsearch

Kibana

SQL

Job description

Position Summary

Base-2 Solutions is seeking a Data Scientist to perform research-level data analytics at a customer site in Bethesda, MD. The role supports programs advancing research and advanced machine learning, natural language processing, and data fusion applications for mission-focused big data analytics. The Data Scientist will work as part of a research-focused team to advance national security objectives, analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.

Essential Duties And Responsibilities

• Work closely with a team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform.
• Analyze a variety of big data covering national security, cybersecurity, business intelligence, online social media, human behavior, and more.
• Support multiple simultaneous projects, independently and collaboratively making mission-relevant discoveries and delivering findings to non-technical audiences.
• Identify novel data sources to improve predictive algorithms and encourage user adoption of data analytics platforms.
• Leverage expertise in research design, exploratory analysis, quantitative methods, user interface application design, and customer outreach and engagement.

Required Qualifications

• B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.
• Experience in data science, analytics, or quantitative intelligence analysis with progressive technical development and outcomes.
• Proficiency in one or more scripting languages such as Python.
• Experience deploying data science applications using Docker, Kubernetes, and/or OpenShift.
• Experience with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL).
• Experience working with hybrid teams of analysts, engineers, and developers to conduct research and build and deploy complex but user-friendly algorithms and analytical platforms.
• Previous experience performing Data Science or Research in data analytics or big data that does not fit in memory.
• Track record of active learning and creative problem solving.
• Ability to analyze and assess software development or data acquisition requirements and determine cost-effective solutions.
• Familiarity with git or other version control technologies.
• Ability to own work and complete tasks on time with little or no supervision.

Preferred Qualifications

• Significant data analytics experience supporting military or intelligence community customers with progressive technical development and mission-focused outcomes.
• Experience with at least two of the following data classes: forensic media (DOMEX), open source publicly available information (PAI), measurement and signatures intelligence (MASINT), or cybersecurity and cyber forensics.
• Experience with Knowledge Graphs and related technologies such as neo4j or graph machine learning.
• Experience developing predictive algorithms, image classifiers, and object detectors.
• Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life analysis, natural language processing, social media analysis, classification algorithms, and/or image processing.
• Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in unconventional ways.
• Experience with on-premises air-gapped environments and/or Amazon Web Services (AWS/C2S).
• Familiarity with hardware platforms such as CPUs, GPUs, and FPGAs.

Required Education and Experience Equivalency

• B.S. Degree in a quantitative or analytical field with 2+ years of experience.
• Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.

Required Certifications

• None specified.

Required Security Clearance

• Active Top Secret/SCI

Equal Employment Opportunity

Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability. Learn more: base-2solutions.com/eeo

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).