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Data Scientist Software Engineer Jobs (NOW HIRING)

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or a related quantitative field preferred. * Strong proficiency in Python ...

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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 Jul 29, 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.

How do Data Scientist Software Engineers typically balance working on data modeling with software development tasks in their daily workflow?

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.

Can a software engineer work as a data scientist?

A software engineer can transition to a data scientist role by developing skills in statistics, machine learning, and data analysis, often using tools like Python, R, and SQL. Both roles require programming expertise, but data scientists typically focus more on data modeling and insights, while software engineers emphasize building scalable applications. Relevant experience and education in data analysis or related fields can facilitate this transition.

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

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.

Is 40 too late for data science?

Data Scientist roles are open to candidates of all ages, and many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses and certifications regardless of age.

Who gets paid more, software engineers or data scientists?

Generally, data scientists tend to have higher average salaries than software engineers due to their specialized skills in analytics, machine learning, and statistical modeling. However, salary differences can vary based on experience, industry, location, and company size, with software engineers often earning more in certain tech-heavy regions or roles focused on software development. Both roles are highly valued and can command competitive compensation depending on expertise and demand.

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.

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.

Can data scientists make $300k?

Data scientists can earn $300,000 or more, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior positions. Achieving this level often requires a combination of expertise, certifications, and working in competitive markets or companies with lucrative compensation packages.
More about Data Scientist Software Engineer jobs
Infographic showing various Data Scientist Software Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist / Software Engineer

Cymertek

San Antonio, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Data Scientist / Software Engineer
LOCATION
San Antonio, TX 78208
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. If you are eager to work on cutting-edge technology in a dynamic and growing field, we encourage you to apply and be part of our forward-thinking team.
*** 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. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'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

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
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.