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Company

Original Job Post

Leidos · 1 week ago

Senior Data Scientist

Bethesda, MD

Full-time

Hybrid

Senior Level

$122K/yr - $221K/yr

10+ years exp

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Responsibilities

Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.

Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.

Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.

Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.

Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement.

Qualification

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Data ScienceQuantitative Intelligence AnalysisTS/SCI ClearanceScripting Languages RScripting Languages PythonHybrid Team CollaborationBig DataSoftware Development AnalysisCost-Effective SolutionsProblem SolvingActive LearningData AnalyticsMilitary/Intelligence SupportTechnical DevelopmentOpen Source DataForensic MediaMeasurement IntelligenceCybersecurityKnowledge GraphsNeo4jSQLNoSQLElasticsearchAnalytical MethodologiesCOTS/GOTS/FOSS ToolsContainerizationDockerKubernetesGitDVC

Required

B.S. Degree and 12-15 years of prior experience or Masters with 10-13 years of prior relevant experience 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.

10+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes.

Must possess TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.

Proficiency in one or more scripting languages such as R or Python.

Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms.

Previous experience performing research and development in data analytics or big data.

Track record of active learning and creative problem solving.

Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.

Preferred

A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.

Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e., DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics

Significant experience with knowledge graphs and related technology such as neo4j.

Significant experience with databases such as SQL, NoSQL, and specifically Elasticsearch.

Experience blending analytical methodologies and leveraging existing COTS/GOTS/FOSS tools in an unconventional manner.

Familiarity utilizing containerization and container orchestration technology and approaches such as Docker and Kubernetes in development and deployment environments.

Familiarity using git, dvc, mlflow, and other version control technologies.

Experience with Amazon Web Services (AWS/C2S).

Familiarity with optimizing machine learning software to take advantage of GPUs.

Experience creating dashboards and prototype web applications with technologies such as Kibana, Apache Superset, Streamlit, Gradio, Plotly Dash, etc.

Experience writing REST and gRPC APIs in technologies such as FastAPI, Flask, etc.