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# Data Scientist Stf - E4

- **Company:** Lockheed Martin
- **Location:** Stratford, CT, United States
- **Experience:** Expert
- **Salary:** $150,800.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Computer Engineering, Data Transformation, Data Structures, Data Systems, Data Warehousing, Distributed Systems, Entity Relationship Models, Python (Programming Language), Machine Learning, Natural Language Processing, Oracle (Applications), Software Engineering, SQL Databases, Text Mining, Data Processing, Deep Learning, Numerical Computing, Information Technology, Machine Learning Operations, Data Objects
- **Published:** October 22, 2026
- **Apply:** https://dejobs.org/x/x/B58719B7E8CA48C296444BE49501D0D2/job/

## About the Role

* Bachelors degree from an accredited college in Computer Science, Information Technolgy, Computer Engineering, or equivalent discipline.
 * 5+ Experience in building data models for end user consumption, optimizing queries and data structures for analytic purposes
 * Experience with SQL, Oracle and Python, especially relating to data orchestration tasks
 * Delivers full-stack data solutions across the entire data processing pipeline.
 * Experience writing data transformation jobs (example: metrics or aggregations) in data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases;
 * Define standards, best practices, and certification processes for data objects
 * General knowledge supporting/creating AI/ML systems

Desired Skills

 * Experience in entity-relationship modeling, data warehousing, and big data modeling.
 * Familiarity with Supply Chain and Production Operations, specifically within a manufacturing environment
 * Excellent communication and collaboration skills, with the ability to work closely with data architects, developers, and business stakeholders

## Description

Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop predictive models and new algorithms to
solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations