Data Scientist Senior

General Dynamics

Hybrid

Quick summary

Work type: Hybrid
Location: Fort Bragg, NC
Salary: $106,250–$143,750 / yr
Posted: 3 days ago
Nearby: 34 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $161k

This role $125k

$93k most similar roles pay here $227k

This role pays less than 95% of similar roles. Most pay $126,800–$195,752 — the shaded band above. At the midpoint, this role pays about $125k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 439 open roles on FindRole.

Listed pay typically runs $112,924–$149,500 across 366 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · Data Scientist Senior

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Join the Data Stewardship/Tech Talent Program at Fort Bragg, NC as a Senior Data Scientist and support General Dynamics Information Technology (GDIT) in advancing the Department of War’s mission. You will design and maintain scalable data pipelines, execute end-to-end machine learning projects on cloud platforms like Databricks and Snowflake, and apply advanced analytics techniques such as NLP and clustering to solve complex challenges. Utilizing Python, R, and distributed SQL technologies, you will work with large datasets to derive actionable insights and communicate these findings effectively to stakeholders. Essential skills include proficiency in programming languages, Agile development methodologies, and Git operations, along with a minimum of 5 years’ experience in data science roles and a current SECRET clearance.

Skills

Python R Spark Hadoop Power BI Tableau R Shiny Databricks Snowflake IBM Cloud Pak Cloudera Agile Development Git SQL NoSQL Machine Learning Natural Language Processing Data Mining Statistical Modeling Visualization Cloud Platforms

What you'll do

Design and implement scalable data pipelines for complex datasets.
Build predictive models using machine learning algorithms on cloud platforms.
Analyze large datasets to generate insights and solve challenging problems.
Develop and automate processes for integrating and manipulating big data.
Communicate analytical findings effectively to non-technical stakeholders.

What we're looking for

US citizenship and current DoW SECRET clearance required.
At least 5 years of experience in data science or related field.
Proficiency in programming languages such as Python, R, Java, C++.
Experience applying data science methods to real-world problems.
Strong skills in Agile software development and Git operations.
Ability to design and automate processes for large-scale data manipulation.
Expertise in statistical modeling, machine learning, and cloud platforms.

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SQL Redshift Spark Hive BigQuery Tableau Qlik A/B Testing Causal Inference AI/GenAI Propensity Score Matching Difference in Differences Synthetic Control Method Data Visualization BI Tools Python R Jupyter Notebook Git

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