Jobs · Engineering · Maryland

Data Scientist

Base-2 Solutions · Bethesda, MD · 1 wk ago
EngineeringFull-time

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.

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).

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