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Data Science Software Engineer Jobs in Boston, MA

SUMMARY: The Data Science Developer is responsible for understanding the business problems ... Design and develop software tools and frameworks to automate the processing and analysis of medical ...

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Data Science Software Engineer information

See Boston, MA salary details

$48.4K

$141.1K

$193.1K

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

As of Jul 22, 2026, the average yearly pay for data science software engineer in Boston, MA is $141,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $149,600.00 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.

Which is the hardest field in it?

For a Data Science Software Engineer, the most challenging fields often involve complex machine learning algorithms, large-scale data processing, and advanced statistical analysis. Staying current with rapidly evolving tools like Python, R, and cloud platforms also requires continuous learning and adaptation. These areas demand strong problem-solving skills and deep technical knowledge.

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.

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. While the roles have different focuses, software engineers' programming expertise can be a strong foundation for data science work, especially with additional training or experience in data modeling and analytics.

Is 40 too late for data science?

Data science software engineers can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary technical expertise and stay current with industry trends.

What engineers make $500,000?

Senior data science software engineers with extensive experience, advanced skills in machine learning, and proficiency in tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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:
Software Engineer, Data Science

Software Engineer, Data Science

Wave Life Sciences

Cambridge, MA

$120K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Wave Life Sciences is a biotechnology company focused on unlocking the broad potential of RNA medicines to transform human health. Our RNA medicines platform, PRISM, combines multiple modalities, chemistry innovation and deep insights in human genetics to deliver scientific breakthroughs that treat both rare and prevalent disorders. Our toolkit of RNA-targeting modalities including RNAi silencing and RNA editing provides us with unmatched capabilities for designing and sustainably delivering candidates that optimally address disease biology. Our diversified pipeline is focused on our obesity, alpha-1 antitrypsin deficiency and PNPLA3 I148M liver disease programs and includes clinical programs for Duchenne muscular dystrophy and Huntington's disease, as well as several preclinical programs utilizing our versatile RNA medicines platform.  Driven by the calling to "Reimagine Possible", we are leading the charge toward a world in which human potential is no longer hindered by the burden of disease.

Description

We're looking for a Full Stack Software Engineer to help build, modernize, and scale internal applications and services that support scientific and operational workflows across the organization.

You'll work across the full stack - backend APIs, frontend interfaces, workflow automation, and data-driven applications - with a strong emphasis on maintainability, engineering standards, and long-term scalability. We're looking for someone who can contribute independently, make sound technical decisions, and help raise the bar on code quality across a distributed engineering team.

Leveling (Software Engineer or Senior Software Engineer) will be determined based on experience and demonstrated skillset.

Experience

  • Bachelor's with 8 years of related experience, Master's with 6 years of related experience. 
  • Experience building full stack applications - both backend APIs and frontend UIs in a production environment.
  • Hands-on experience with Python and at least one backend web framework (Flask, FastAPI, or similar).
  • Proficiency with React or a modern frontend framework.
  • Strong foundation in software engineering best practices - testing, clean code, and maintainability.
  • A track record of reviewing production code and providing constructive, actionable feedback.
  • Familiarity with relational databases and data modeling.
  • Comfort with version control, automated testing, and CI/CD workflows.
  • Strong communication skills, a collaborative mindset, and the ability to navigate ambiguity.
  • Experience designing scalable systems using microservices architecture preferred.
  • Experience with microfrontend architecture preferred.
  • Experience working with distributed or offshore engineering teams preferred.
  • Familiarity with modern frontend frameworks preferred.
  • Experience modernizing legacy systems or workflows preferred.
  • Background in scientific, analytical, or data-driven environments preferred,

Responsibilities

  • Design and build backend services and APIs that are reliable, well-tested, and built to last.
  • Build and maintain user-facing interfaces using React or modern frontend frameworks.
  • Own features end-to-end - from API design to UI implementation.
  • Shape technical direction by contributing to architecture discussions and design decisions.
  • Elevate engineering quality through thoughtful code reviews and by championing best practices.

Key Skills

  • Full stack ownership - taking a feature from API design to UI polish
  • Engineering judgment - making thoughtful trade-offs between speed, quality, and complexity
  • Readable, maintainable code - writing for the next developer, not just the current sprint
  • Pragmatic problem-solving - finding the right solution, not just the clever one
  • Ownership and accountability - following through from design to deployment
  • Continuous improvement - always looking for ways to make the codebase better
  • Clear communication - explaining ideas, decisions, and trade-offs with clarity

Pay Range External Disclosure Statement

The annual base salary range for this position is $120,000 - $162,000.

The range provided is based on what we believe is a reasonable estimate for the annual base salary pay range for this position at the time of posting. Actual annual base salary will vary based on several factors including, but not limited to, relevant skills, experience, qualifications, position criticality, and internal equity.  This position is eligible for a discretionary annual bonus and discretionary stock-based long-term incentives.  In addition to compensation, Wave offers a comprehensive and competitive range of benefits designed to support our employees' and their families physical and financial health and overall well-being. These include, but are not limited to, company-sponsored medical, dental, vision, life, long and short-term disability insurances, generous paid time off (including a week-long company shutdown in the Summer and the Winter), 401K participation with matching contributions, and Employee Stock Purchase Program.

Wave Life Sciences provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Wave Life Sciences complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Wave Life Sciences expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Wave Life Sciences' employees to perform their job duties may result in discipline up to and including discharge.

We value our relationships with professional recruitment firms. To protect the interests of all parties, and given the large volume of inquiries received from third-party placement agencies, we are not able to respond to all agency inquiries. We do not accept unsolicited resumes from any source other than directly from candidates for current or future positions. Submission of unsolicited resumes in advance of a signed agreement between our company and a placement agency does not create an implied obligation and, if an unsolicited candidate represented by a placement agency is hired, we are not obligated to pay a fee. Only approved recruitment firms will be allowed to provide services to Wave Life Sciences, USA.