B.S. in a quantitative field or Master's degree with advanced training.
4+ years in data science or analytics; 2+ years with a Master's degree.
Proficient in Python programming.
Experience with Docker, Kubernetes, and/or OpenShift for application deployment.
Familiar with Elastic Stack (Elasticsearch, Kibana) and SQL for data retrieval.
Knowledge of Git and collaborative software development practices.
Experience in hybrid team environments for research and analytics.
Responsibilities
Collaborate with a multidisciplinary team to design and optimize a Search and Discovery platform.
Conduct research to recommend data indexing and organization strategies.
Support multiple projects, making discoveries and communicating findings effectively.
Identify new data sources to enhance predictive algorithms and user engagement.
Leverage expertise in research design and quantitative methods for analytics.
Co-develop and research to maximize team product reuse.
Engage in cooperative research efforts with analysts and engineers.
Benefits
100% company-paid medical, dental, and vision premiums for employees and dependents.
401(k) plan with immediate vesting and an 8% total company contribution.
Up to 20 days of flexible paid time off (PTO) and 11 paid floating holidays.
Flexible work schedules, including options for compressed work periods.
Employee referral bonuses and performance-based bonuses.
Full Job Description
Requisition ID: 5182
Standard Title:
Required Security Clearance: Top Secret/SCI
Location: Bethesda, 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 to support a long-term mission-focused big data and predictive analytics program. The role involves delivering advanced data science capabilities to advance national security objectives, analyzing results, disseminating findings, and contributing to actionable intelligence insights. The position requires collaboration with a multidisciplinary team and offers a flexible schedule with a hybrid work model based in Bethesda, MD. 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 Search and Discovery platform.
Conduct research tasks to recommend optimal approaches to index and organize data for discovery and create reusable agents and tools.
Support multiple simultaneous projects, independently and collaboratively make mission-relevant discoveries, and communicate 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 engagement.
Collaborate with a hybrid team of analysts, engineers, and developers to build and deploy complex algorithms and analytical platforms.
Engage in co-development and cooperative research to leverage and reuse team products.
Required Qualifications
B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses.
4+ years of experience in data science, analytics, or quantitative intelligence analysis, with 2+ years required if holding a Master's degree.
Proficiency in 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 SQL.
Familiarity with Git and cooperative software development practices.
Experience working with hybrid teams to conduct research and build analytical platforms.
Demonstrated active learning and creative problem solving.
Preferred Qualifications
Experience supporting military or intelligence community customers with progressive technical development and mission-focused outcomes.
Experience constructing and performing evaluations of analytics including test data construction, test execution, and metrics.
Experience with Agentic software solutions such as Agno, CrewAI, Pydantic AI, or LangGraph.
Experience working in on-prem, air-gapped environments and/or Amazon Web Services (AWS/C2S).
Required Education and Experience Equivalency
B.S. Degree in a quantitative or analytical field with 4+ years of experience.
Master's degree or equivalent graduate degree including certificate-based advanced training courses with 2+ years of experience.
Required Certifications
None specified.
Required Security Clearance
Active Top Secret/SCI
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).
