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Data Science Software Engineer Jobs (NOW HIRING)

Data science software developer

Murray, UT ยท On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of ...

Data science software developer

Murray, UT ยท On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of ...

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 ...

Data Pipelines & Processing Automation * Design End-to-End Pipelines: Develop and automate robust ... Degree in Earth Science, Atmospheric Science, Meteorology, Computer Science, Software Engineering ...

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Data Science Software Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Aug 31, 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 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 are the key skills and qualifications needed to thrive as a data science software engineer?

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 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:

Infographic showing various Data Science Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Science Software Engineer with Security Clearance

The Swift Group

Annapolis Junction, MD โ€ข On-site

$117K - $140K/yr

Other

Re-posted 23 days ago


Job description

Swift is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a Data Science Software Engineer to join a growing team in Annapolis Junction, MD. The Data Science Software Engineer will design, develop, and prototype analytics solutions and tools that support compliance and business processing functions. This role will focus on creating automated approaches to streamline compliance processes, enhancing existing capabilities, and researching, integrating, and validating Machine Learning (ML) and Artificial Intelligence (AI) solutions within an R&D environment. The engineer will develop analytical models, establish performance metrics, and implement monitoring capabilities to assess and optimize tools, processes, and data workflows. Required Skills: * Proficiency with Java, Scala, and Python * Experience with Lucene, JEXL, SQL, JSON * Random Forest and ability to do feature development for Random Forest * Experience with Machine Learning Model building and monitoring * Experience developing in a Linux operating environment * Experience with Ghostmachine (Map/Reduce) * Experience with GM Learn * Experience with Jupyter Notebooks * Experience with IntelliJ and/or Eclipse * Experience with Git/Gitlab and/or Stash/Bitbucket * Experience with Jira and Confluence for project tracking and documentation
* Experience with Scikit-learn * Agency Compliance standards, policies, and authorities * Experience with Agency corporate systems * Experience with documentation and reviewing documentation Desired Skills: * Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM) * Machine Learning Feature Development * Other Machine Learning models and techniques Requirements: * Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor'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 bachelor's degree.
* US citizenship and an active security clearance required