General Dynamics

3 weeks ago

Data Scientist Mid

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Support Defense & Intelligence programs for USASOC at Ft. Bragg as part of an Intelligence Data Science team. Own data-driven efforts that develop and evaluate predictive modeling solutions, interpret and connect complex data, and assess new data sources and gathering techniques. Collaborate with stakeholders to turn company data into business outcomes, and help monitor model performance while coaching less experienced professionals.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Contribute to completion of specific programs and projects for Defense & Intelligence efforts.
•Develop data-driven solutions to complex business challenges, using tools and computational skills to interpret, connect, predict, and discover in data.
•Evaluate the effectiveness and accuracy of new data sources and gathering techniques.
•Use predictive modeling to increase and optimize customer experience, efficiencies, process improvements, and other business outcomes.
•May develop machine learning based tools to monitor and analyze model performance and data accuracy, and coach/review less experienced professionals.

Travel: Low travel

Pay and Benefits

Salary: USD 109,403 - 148,017 annually

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•Proficiency in Python and Bash, including API development and data manipulation.
•Familiarity with SQL and large-scale systems such as PostgreSQL, Hive, or Trino.
•Basic understanding of ML concepts and familiarity with Flask or FastAPI.
•5-8 years of related experience, including academic or internship-based data science work.
•Bachelor’s degree in Computer Science, Statistics, Engineering, Data Science, or related field.

Experience:5-8 years

Education:Bachelor's in Computer Science, Statistics, Engineering, Data Science, or related field

Tech Stack:PythonBashGitAPISQLPostgreSQLHiveTrinoFlaskFastAPI

Eligibility

Nationality:US National

Security Clearance:Top 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

Data Scientist Mid

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Contribute to completion of specific programs and projects for Defense & Intelligence efforts.
•Develop data-driven solutions to complex business challenges, using tools and computational skills to interpret, connect, predict, and discover in data.
•Evaluate the effectiveness and accuracy of new data sources and gathering techniques.
•Use predictive modeling to increase and optimize customer experience, efficiencies, process improvements, and other business outcomes.
•May develop machine learning based tools to monitor and analyze model performance and data accuracy, and coach/review less experienced professionals.

Travel: Low travel

Pay and Benefits

Salary: USD 109,403 - 148,017 annually

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•Proficiency in Python and Bash, including API development and data manipulation.
•Familiarity with SQL and large-scale systems such as PostgreSQL, Hive, or Trino.
•Basic understanding of ML concepts and familiarity with Flask or FastAPI.
•5-8 years of related experience, including academic or internship-based data science work.
•Bachelor’s degree in Computer Science, Statistics, Engineering, Data Science, or related field.

Experience:5-8 years

Education:Bachelor's in Computer Science, Statistics, Engineering, Data Science, or related field

Tech Stack:PythonBashGitAPISQLPostgreSQLHiveTrinoFlaskFastAPI

Eligibility

Nationality:US National

Security Clearance:Top 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