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Data Science Software Engineer Jobs in Boston, MA

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

Take theoretical ideas from linguistics and data science and implement them as practical software ... Required: * 2-4 years of professional software engineering experience (including high-impact ...

Husch Blackwell LLP

Senior Software Engineer

Boston, MA · On-site +1

$133K - $175K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Collaborate with Information Engineers, designers, and data scientists to deliver engaging data ...

Husch Blackwell Llp

Senior Software Engineer

Boston, MA · On-site +1

$133K - $175K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Collaborate with Information Engineers, designers, and data scientists to deliver engaging data ...

ShiftCode Analytics, Inc.

Data Science Engineer

Boston, MA · On-site

$124K - $149K/yr

ShiftCode Analytics, Inc. is seeking a talented Data Science Engineer to join their team and contribute to the development and implementation of advanced data solutions. The role involves designing ...

Moderna, Inc.

Data Scientist

Cambridge, MA · On-site

$121K - $194K/yr

Utilize data science and software engineering best practices in day-to-day work, including automated testing, code review, and documentation designed to support reproducibility, collaboration, and ...

ZoomInfo Technologies LLC

Senior Software Engineer

Waltham, MA · On-site

$132K - $174K/yr

The Opportunity We're looking for a Senior Software Engineer to join the Data Acquisition team ... Work with product, data science, platform, and data quality teams to translate business needs into ...

Lila Sciences

Senior Software Engineer, Data

Cambridge, MA · On-site

$144K - $288K/yr

Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), where you'll collaborate with ...

Moderna Therapeutics

Data Scientist

Cambridge, MA · On-site +1

$121K - $194K/yr

Utilizedata science and software engineering best practices in day-to-day work, includingautomated ... Collaborate with data scientists, data engineers, laboratory scientists, software developers, and ...

TraceLink, Inc

Software Engineer I

Wilmington, MA · On-site

Analyze logs, application behavior, APIs, data, and system errors to identify root causes ... Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent ...

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Showing results 21-40

All JobsData Science Software Engineer JobsData Science Software Engineer Jobs in Boston, MA

Data Science Software Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Sep 1, 2026, the average yearly pay for data science software engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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.

What are popular job titles related to Data Science Software Engineer jobs in Boston, MA?

For Data Science Software Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Software Engineer jobs in Boston, MA look for?

The top searched job categories for Data Science Software Engineer jobs in Boston, MA are:

Data Science Software Engineer jobs near you

NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Re-posted 10 days ago

Job description

hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:

About the Role

Babel Street is looking for a Software Engineer to join their Analytics Group. This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for their analytics platform, focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready.

About the Company

Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage.  The actionable insights we deliver safeguard lives and protect critical assets around the world.  Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.

What you will do:
  • Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components.
  • Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.
  • Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.
  • Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.
  • Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.
What you will bring:

Required:

  • 2–4 years of professional software engineering experience (including high-impact internships or projects).
  • Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).
  • Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.
  • Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field.

Preferred (Nice to Have):

  • Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics.
  • Familiarity with Elasticsearch internals or other search/retrieval-based systems.
  • Exposure to computational linguistics or natural language processing (NLP).
  • Interest in Kubernetes and cloud-native architectures.
What success looks like:
  • Month 1–2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
  • Month 3–4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.
  • Month 5–6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.
Why this role matters:
The record matching functionality is where Babel Street’s signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, "the model said so" is not good enough. You will help build systems where every match is defensible, auditable, and tunable — a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.