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Data Science Software Engineer Jobs (NOW HIRING)

Data Science Software Engineer

Laurel, MD ยท On-site

$114K - $137K/yr

GRVTY is seeking a Data Science Software Engineer with a TS/SCI + Poly clearance to join one of their top projects. The role involves developing and enhancing compliance and business processing ...

Data Science Software Engineer

Laurel, MD

$113K - $136K/yr

The Data Science Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools. They will also develop new methods for automating compliance functions ...

The Data Science Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools. They will also develop new methods for automating compliance functions ...

Data Science Software Engineer

Laurel, MD ยท On-site

$120K - $175K/yr

The Data Science Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools. They will also develop new methods for automating compliance functions ...

The Data Science Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools. They will also develop new methods for automating compliance functions ...

In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the ...

In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the ...

In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the ...

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Data Science Software Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data science software engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data science software engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Software Engineer, and why are they important?

To thrive as a Data Science Software Engineer, you need strong proficiency in programming (especially Python or R), a solid understanding of statistics and algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data processing tools (like Spark or Hadoop), and cloud platforms (AWS, GCP, or Azure) is essential, as are relevant certifications. Excellent problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams set top performers apart. These competencies are vital for efficiently developing scalable data-driven solutions that drive business insights and innovation.

How does a Data Science Software Engineer typically collaborate with data scientists and other stakeholders on projects?

Data Science Software Engineers play a vital role in bridging the gap between data science and software engineering teams. They work closely with data scientists to translate prototypes and models into scalable, production-ready code, and often collaborate with product managers, analysts, and infrastructure engineers to ensure seamless integration. Regular communication and code reviews are essential, as is an iterative development process to address feedback and ensure solutions meet both technical and business requirements. This cross-functional collaboration helps deliver robust data-driven applications that align with organizational goals.

What is a Data Science Software Engineer?

A Data Science Software Engineer is a professional who combines software engineering skills with data science expertise to build scalable data-driven systems and applications. They design, develop, and optimize software that supports data pipelines, machine learning models, and analytics platforms. Their work bridges the gap between data scientists, who focus on statistical analysis and modeling, and traditional software engineers, who focus on building robust and efficient software systems. Data Science Software Engineers ensure that data solutions are production-ready, scalable, and maintainable.

What is the difference between Data Science Software Engineer vs Data Analyst?

AspectData Science Software EngineerData Analyst
Required SkillsProgramming, software development, machine learningData visualization, statistical analysis, reporting
Work EnvironmentSoftware development teams, engineering projectsBusiness units, reporting teams
Common ToolsPython, Java, SQL, ML frameworksExcel, Tableau, SQL, R
Industry UsageTech, finance, healthcare, startupsMarketing, finance, retail, research

While both roles analyze data, Data Science Software Engineers focus on developing software solutions and machine learning models, requiring strong programming skills. Data Analysts primarily interpret data through visualization and statistical methods to support business decisions. The roles often overlap but serve different functions within organizations.

More about Data Science Software Engineer jobs
What cities are hiring for Data Science Software Engineer jobs? Cities with the most Data Science Software Engineer job openings:
What states have the most Data Science Software Engineer jobs? States with the most job openings for Data Science Software Engineer jobs include:
What job categories do people searching Data Science Software Engineer jobs look for? The top searched job categories for Data Science Software Engineer jobs are:

Data Science Software Engineer

GRVTY

Laurel, MD โ€ข On-site

$114K - $137K/yr

Full-time

Posted 3 days ago


Job description

Job Summary:
GRVTY is seeking a Data Science Software Engineer with a TS/SCI + Poly clearance to join one of their top projects. The role involves developing and enhancing compliance and business processing analytics, automating compliance functions, and integrating Machine Learning/AI algorithms.
Responsibilities:
โ€ข The Data Science Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools.
โ€ข They will also develop new methods for automating compliance functions and improve existing methods.
โ€ข Additionally, the Engineer will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment.
โ€ข Lastly, the Engineer will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
Qualifications:
Required:
โ€ข Active TS/SCI with Polygraph Clearance
โ€ข Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
โ€ข Bachelorโ€™s degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelorโ€™s degree.
โ€ข Experience with Java, Scala, and Python
โ€ข Experience with Lucene, JEXL, SQL, JSON
โ€ข Random Forest and ability to do feature development for Random Forest
โ€ข Experience with Machine Learning Model building and monitoring
โ€ข Experience developing in a Linux operating environment
โ€ข Experience with Ghostmachine (Map/Reduce)
โ€ข Experience with GM Learn
โ€ข Experience with Jupyter Notebooks
โ€ข Experience with IntelliJ and/or Eclipse
โ€ข Experience with Git/Gitlab and/or Stash/Bitbucket
โ€ข Experience with Jira
โ€ข Experience with Confluence
โ€ข Experience with Scikit-learn
โ€ข Agency Compliance standards, policies, and authorities
โ€ข Experience with Agency corporate systems
โ€ข Experience with documentation and reviewing documentation
Preferred:
โ€ข Data Science skills/background
โ€ข Experience with AWS
โ€ข Experience implementing ML systems
โ€ข Experience with Spark
โ€ข Exploratory Data Analysis (EDA)
โ€ข Agentic AI
โ€ข Large Language Models (LLM)
โ€ข Machine Learning Feature Development
โ€ข Other Machine Learning models and techniques
Company:
GRVTY is a defense technology company that provides software and data solutions for defense sectors. Founded in 2024, the company is headquartered in Arlington, USA, with a team of 501-1000 employees. The company is currently Late Stage.