Top 296 Research scientist exploratory technologies Jobs

Senior Data Scientist - Operational Analytics
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Evans Inc. —Washington, DC
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BECU —Tukwila, WA
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Meta —New York, NY
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Schreiber Foods —Green Bay, WI
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BMS —Princeton, NJ
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Leidos —Huntsville, AL
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Head of AI Data Science, Intelligence Ventures
SPECTRUM —New York, NY
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- 7 years
- Computer Science
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Senior Data Scientist - Operational Analytics

Peraton -
Herndon, VA

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Job Details

$104,000 - $166,000 a year

Benefits

Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Employee assistance program
Vision insurance
Life insurance

Qualifications

Data integrity assurance
Data validation techniques
Data reporting
Metrics Reporting
Trend analysis
Data quality monitoring
Data-driven problem-solving
Data analysis software
Stakeholder management
Database software proficiency

Full Job Description

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

Peraton Labs is seeking a Data Scientist to support the BNATCS CTO Advanced Analytics and Digital Command Center teams by transforming complex workstream, program, schedule, requirements, and operational data into trusted metrics, analytical insights, and decision-support products.

This role will support the analytics foundation behind the Digital Command Center (DCC) by helping interpret, model, visualize, and operationalize complex workstream data. You will work closely with CTO leadership and mission stakeholders to transform raw and evolving program data into actionable insights, dashboards, metrics, and analytics products that support FAA modernization objectives.

The ideal candidate for this role brings strong analytical judgment, cognitive flexibility, hands-on comfort with data, and the ability to understand both the technical structure of data and the operational meaning behind it. Candidates for this role should be able to analyze, reason, and communicate well enough to contribute to analytics workflows, dashboard logic, data validation, and integration activities supporting the consolidated data environment that feeds the program’s agentic AI engine.

Experience with FAA, NAS, Aviation, air traffic operations, transportation, safety-critical systems, or large-scale modernization data is highly relevant to this position.

Key responsibilities may include, but are not limited to:

Analyze workstream, requirements, IMS, schedule, risk, operational, and program data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights
Define operational metrics, KPIs, analytical logic, thresholds, and decision-support views for Digital Command Center dashboards and advanced analytics products
Assess the quality, completeness, consistency, and usability of data made available through enterprise data repositories
Partner with data architects and data engineers to identify data gaps, transformation needs, metadata requirements, and analytics-readiness issues
Support ai-enabled analytics workflows by helping define trusted data inputs, context, validation criteria, and human-in-the-loop review considerations
Develop notebooks, scripts, SQL queries, statistical analyses, models, and reusable analytical artifacts to support data exploration and decision-making
Translate ambiguous operational questions into structured analysis, measurable metrics, and clear recommendations
Communicate assumptions, limitations, findings, and implications to technical teams, program leadership, and mission stakeholders

Qualifications

Required Qualifications

8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ with a PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, Information Systems, Analytics, or a related technical discipline
Experience analyzing complex structured, semi-structured, operational, program, or business datasets to support decision-making
Proficiency with Python, R, SQL, or similar analytical tools, with the ability to develop notebooks, scripts, queries, and reusable analysis artifacts
Experience with exploratory data analysis, data cleaning, statistical analysis, trend analysis, anomaly detection, forecasting, classification, clustering, or predictive modeling
Experience defining or supporting metrics, KPIs, dashboards, reports, or decision-support products
Ability to assess data quality, completeness, consistency, and analytical usefulness
Ability to translate ambiguous operational and stakeholder questions into structured analyses and measurable outputs
US Citizenship and the ability to obtain an FAA Public Trust clearance

Desired Additional Qualifications

Experience supporting FAA, aviation, NAS, air traffic management, transportation, defense, logistics, infrastructure, command center, risk, or other complex operational environments
Experience with cloud-based data environments, especially AWS, Glue, Athena, Redshift, SageMaker, Databricks, Snowflake, or similar
Experience working with data lakes, data warehouses, lakehouse environments, or multi-source data integration environments
Experience with dashboarding or visualization tools such as Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, or similar platforms
Familiarity with LLMs, agentic AI systems, retrieval-augmented generation (RAG), prompt/context engineering, AI-enabled workflows, or model/output evaluation
Experience supporting human-in-the-loop analytics, AI output validation, data quality frameworks, or decision-support governance
Experience working with requirements data, schedule data, risk data, dependency data, operational performance data, or program execution data
Familiarity with APIs, JSON, Parquet, data pipelines, ETL/ELT concepts, metadata, lineage, or data governance concepts
Experience contributing lightweight code to dashboards, data workflows, APIs, or analytics applications

Details

Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Apply Now

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