Data Scientist with active TS/SCI with FSP

Redrockgs; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Red Rock Government Services is seeking a Data Scientist to support a high-priority mission. The role focuses on processing and modeling complex data, building tools with Python, Neo4j, and Streamlit, and developing data pipelines across diverse environments to meet targeting and analytics needs.

The position requires a current TS/SCI with Full Scope Polygraph, with occasional CONUS/OCONUS travel. Experience in graph databases, ETL workflows, and unsupervised ML is essential.

Qualifications

• Expertise in data exploitation and enrichment using ElasticSearch and Neo4j.
• Proven experience with complex ETL pipelines (NiFi, Pentaho) and data streaming workflows.
• Experience applying unsupervised machine learning to solve complex customer problems.
• Proficient in Python and graph databases, with the ability to query across sensitive multi-repository big data environments.
• Strong background in backend software engineering, scientific computing, and relevant programming languages.

Responsibilities

• Translate the Sponsor's mission needs into actionable data science milestones.
• Develop and manage ETL pipelines for data processing.
• Deliver ad hoc training on custom tools and data exploitation aligned with use cases.
• Build user-facing tools using technologies like Python, Neo4J, and Streamlit, incorporating advanced data science methods.
• Integrate Sponsor-provided LLMs to enhance data science workflows.
• Identify and improve emerging data workflows to support the Sponsor's mission.
• Utilize big data and coding platforms to execute data management goals.
• Be available for occasional CONUS/OCONUS travel as directed.

Skills

Data exploitation

Machine learning

Python programming

Graph databases

Backend software engineering

Tools

Neo4j

ElasticSearch

NiFi

Pentaho

Streamlit

Job description

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives.

This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing.

RedRock is seeking a Data Scientist to support a high-priority mission, leveraging expertise in data science, graph databases, and cloud systems. This role involves processing and modeling complex technical data, building custom tools, and developing data pipelines across diverse environments to meet fast-paced targeting and analytics requirements.

Responsibilities:

• Translate the Sponsor's mission needs into actionable data science milestones.
• Develop and manage ETL pipelines for data processing.
• Deliver ad hoc training on custom tools and data exploitation aligned with use cases.
• Build user-facing tools using technologies like Python, Neo4J, and Streamlit, incorporating advanced data science methods.
• Integrate Sponsor-provided LLMs to enhance data science workflows.
• Identify and improve emerging data workflows to support the Sponsor's mission.
• Utilize big data and coding platforms to execute data management goals.
• Be available for occasional CONUS/OCONUS travel as directed.

Qualifications:

• Expertise in data exploitation and enrichment using tools like ElasticSearch and Neo4j.
• Proven experience with complex ETL pipelines (NiFi, Pentaho), batch processing, and data streaming workflows.
• Experience applying unsupervised machine learning to solve complex customer problems.
• Proficient in Python and graph databases, with the ability to query across sensitive, multi-repository big data environments.
• Strong background in backend software engineering, scientific computing, and relevant programming languages.

Highly Desired Skills & Experience:

• Proven success in delivering Sponsor mission outcomes and scaling capabilities to production.
• Experience leading advanced data science teams and implementing ML solutions.
• Familiarity with collaborating across domestic and international Sponsor partners.
• Skilled in custom algorithm development and advanced graph database queries.
• Effective in high-paced, operational environments.

Pay and Benefits:

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement.

Commitment to Diversity:

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.