General Dynamics

3 weeks ago

Biostatistician

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead analytical, statistical, and data engineering efforts supporting readiness, human performance, and enterprise decision-making. Design and deploy advanced analytics and predictive modeling solutions, transform complex data into mission-relevant intelligence, and build scalable ETL/ELT pipelines. Apply data quality controls, optimize Spark workloads, and deliver decision-support via Power BI and Power Platform tools while collaborating across operations, intelligence, technology, and human performance teams.

Location: San Diego

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Lead end-to-end analytics initiatives from problem framing and experimental design through production delivery, measurement, and iterative improvement.
•Architect and implement scalable data solutions by building and maintaining ETL/ELT pipelines and curated datasets using SQL Server, Databricks, and Apache Spark (PySpark).
•Fuse structured, semi-structured, and unstructured data sources; establish data preparation standards and reusable transformations for defensibility and reproducibility.
•Implement data quality controls, manage schema changes, and optimize Spark workloads for performance, reliability, and cost.
•Develop, evaluate, and deploy predictive models and decision-support products, including NLP/LLM use cases and Power BI/Power Platform delivery.

Travel: Low travel

Pay and Benefits

Salary: USD 63,312 - 85,658 annually

Perks:401kHealth InsuranceDentalVisionPaid Leave

Key Requirements

•Master’s or doctoral degree with 5+ years’ experience in quantitative science, social science, or a related discipline.
•At least 3 years of research experience in academic, social services, government, healthcare, or laboratory settings.
•Strong proficiency in Python or R for analytics, ML, and data manipulation with disciplined software practices.
•Advanced SQL skills and hands-on experience with SQL Server for applied analytics and data preparation.
•Demonstrated experience with Databricks and Apache Spark (PySpark) to build scalable data pipelines and large-scale transformations.

Experience:5+ yearsGovernmentDefenseIntelligenceHealthcare

Education:Master's

Skills:Technical leadershipCollaborationCommunicationAttention to data qualityProblem solving

Tech Stack:SQLSQL ServerDatabricksApache SparkPySparkPower BIDAXPower AppsPower AutomatePower PlatformPythonRNLPLarge Language ModelsLLMsAgent workflowsHTMLCSSJavaScriptReact

Eligibility

Nationality:US National

Security Clearance:Top SecretTop Secret/SCI

Company Brief

General Dynamics

Provides IT, systems engineering, cybersecurity, cloud, and mission support services to U.S. federal civilian and defense agencies, delivering large-scale technology solutions and managed services for national security and government operations.

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Tysons / Fairfax, United States

Website LinkedIn

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General Dynamics

3 weeks ago

Biostatistician

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Diego

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Lead end-to-end analytics initiatives from problem framing and experimental design through production delivery, measurement, and iterative improvement.
•Architect and implement scalable data solutions by building and maintaining ETL/ELT pipelines and curated datasets using SQL Server, Databricks, and Apache Spark (PySpark).
•Fuse structured, semi-structured, and unstructured data sources; establish data preparation standards and reusable transformations for defensibility and reproducibility.
•Implement data quality controls, manage schema changes, and optimize Spark workloads for performance, reliability, and cost.
•Develop, evaluate, and deploy predictive models and decision-support products, including NLP/LLM use cases and Power BI/Power Platform delivery.

Travel: Low travel

Pay and Benefits

Salary: USD 63,312 - 85,658 annually

Perks:401kHealth InsuranceDentalVisionPaid Leave

Key Requirements

•Master’s or doctoral degree with 5+ years’ experience in quantitative science, social science, or a related discipline.
•At least 3 years of research experience in academic, social services, government, healthcare, or laboratory settings.
•Strong proficiency in Python or R for analytics, ML, and data manipulation with disciplined software practices.
•Advanced SQL skills and hands-on experience with SQL Server for applied analytics and data preparation.
•Demonstrated experience with Databricks and Apache Spark (PySpark) to build scalable data pipelines and large-scale transformations.

Experience:5+ yearsGovernmentDefenseIntelligenceHealthcare

Education:Master's

Skills:Technical leadershipCollaborationCommunicationAttention to data qualityProblem solving

Tech Stack:SQLSQL ServerDatabricksApache SparkPySparkPower BIDAXPower AppsPower AutomatePower PlatformPythonRNLPLarge Language ModelsLLMsAgent workflowsHTMLCSSJavaScriptReact

Eligibility

Nationality:US National

Security Clearance:Top SecretTop Secret/SCI

Company Brief

General Dynamics

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Tysons / Fairfax, United States

Website LinkedIn