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Data Scientist Software Engineer Jobs (NOW HIRING)

Data Scientist / Software Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a passionate and ...

Data Scientist / Software Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a passionate and ...

Data Scientist / Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a passionate and ...

Data Scientist III

New York, NY ยท On-site +1

$172K - $219K/yr

... Data Scientist, Software Engineer or in an occupation involving SaaS or consumer companies ... Additionally, the applicant must have employment experience with: (1) End-to-end design ...

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Data Scientist Software Engineer information

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$46K

$165K

$243.5K

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

As of Aug 21, 2026, the average yearly pay for data scientist software engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data scientist software engineer?

A Data Scientist Software Engineer is a professional who combines expertise in software engineering and data science. They build scalable systems and tools for processing, analyzing, and interpreting large datasets. Their responsibilities often include designing algorithms, developing machine learning models, and deploying data-driven applications. This hybrid role requires strong programming skills, a solid understanding of statistical analysis, and the ability to translate data insights into actionable solutions within software products.

What does a data scientist software engineer do?

Data Scientist Software Engineers often split their time between developing robust data pipelines and building scalable software solutions. A typical day may involve analyzing datasets, creating or refining machine learning models, and then integrating these models into production software environments. They collaborate closely with data analysts, software engineers, and product managers to ensure that data-driven features are both accurate and maintainable. Balancing these responsibilities requires strong time management and communication skills to align technical deliverables with business objectives.

What are the key skills and qualifications needed to thrive as a data scientist software engineer?

To thrive as a Data Scientist Software Engineer, you need strong programming skills (especially in Python, R, or Java), a solid foundation in math and statistics, and a relevant degree (such as computer science, statistics, or engineering). Proficiency with data analysis libraries (like Pandas, NumPy, and scikit-learn), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms and version control systems are highly valued. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating data insights into software solutions. These skills are crucial for building robust, data-driven applications and ensuring impactful business outcomes.

What is the difference between Data Scientist Software Engineer vs Data Engineer?

AspectData Scientist Software EngineerData Engineer
CredentialsBachelor's or Master's in CS, Data Science, or related fields; often includes certifications in machine learning or data analysisBachelor's or Master's in CS, Software Engineering, or related fields; certifications in cloud platforms or data tools are common
Work EnvironmentCollaborates with data scientists and software developers; focuses on building data-driven applications and modelsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data teams and software engineers
Industry UsageUsed across tech, finance, healthcare, and e-commerce sectors for analytics and product developmentPrimarily in organizations managing large-scale data storage, processing, and infrastructure

Data Scientist Software Engineers combine skills in software development and data science to create data-driven applications, whereas Data Engineers focus on building the infrastructure for data storage and processing. Both roles are essential in data-centric organizations but serve different functions within the data ecosystem.

Can a data scientist software engineer work as a data scientist?

A data scientist software engineer can often transition to a data scientist role if they have relevant skills such as statistical analysis, machine learning, and data visualization. Both roles require strong programming skills, typically in Python or R, and familiarity with data tools and frameworks. However, specific job requirements may vary depending on the organization and the complexity of data analysis tasks involved.
More about Data Scientist Software Engineer jobs
Infographic showing various Data Scientist 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist / Software Engineer

Cymertek Corporation

Reston, VA โ€ข On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Data Scientist / Software Engineer LOCATION

Reston, VA 20190

CLEARANCE

TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

KEY SUMMARY

We are seeking a passionate and innovative Data Scientist / Software Engineer to join our team and help drive the development of data-driven software solutions. 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 scalability and reliability of the software. The ideal candidate will thrive in a collaborative environment, using their problem-solving skills to create impactful solutions that enhance business processes and decision-making.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***

SIMILAR CAREER TITLES

Data Engineer, Machine Learning Engineer, Software Engineer, Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business Intelligence Engineer, Computational Scientist, ect.

DEGREE (Level Desired)

Bachelor's Degree

DEGREE (Focus)

Computer Science, Data Science, Software Engineering, Artificial Intelligence, Applied Mathematics, Statistics, Information Technology, Computational Science, Electrical Engineering, Machine Learning, ect.

ALTERNATE EXPERIENCE

General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.

POSITION RESPONSIBILITIES
  • Design and implement data-driven applications
  • Analyze and interpret complex datasets
  • Build and optimize machine learning models
  • Develop and maintain data pipelines and workflows
  • Collaborate with teams to translate data insights into actionable solutions
  • Document and present analytical results effectively
REQUIRED SKILLS
  • Proficiency in Python or R
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Knowledge of data visualization tools (e.g., Tableau, Matplotlib)
  • Understanding of SQL and database management systems
  • Familiarity with data cleaning and preprocessing techniques
  • Ability to implement end-to-end data science solutions
DESIRED SKILLS
  • Familiarity with cloud platforms for data analytics (e.g., AWS, GCP)
  • Knowledge of big data technologies (e.g., Hadoop, Spark)
  • Experience with natural language processing
  • Understanding of advanced statistical and mathematical modeling
  • Familiarity with real-time data streaming tools
  • Ability to integrate predictive models into production systems
PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. Weโ€™re committed to creating an environment where youโ€™ll thrive professionally and personally. We provide meaningful, challenging work using cuttingโ€‘edge technologies while investing in your growth and success. With direct access to company leadership, a laidโ€‘back and inclusive atmosphere, and exceptional workโ€‘life balance, youโ€™ll feel valued every day.

We also believe in taking care of our family โ€“ both yours and ours. Our benefits are phenomenal, familyโ€‘friendly, and designed with your wellโ€‘being in mind. From employee and family events to careerโ€‘long support, we create a community youโ€™ll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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