- Requisition ID: 3376
- 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 SummaryBase-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 CertificationsRequired Security ClearancePay & Benefit HighlightsCompensation- 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).
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