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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 ...

Software Engineer

Cambridge, MA · On-site +1

$114K - $136K/yr

Collaborating with data scientists, machine learning engineers, and software developers to achieve common goals; Developing and managing feature stores and model registries to ensure data and model ...

Software Engineer

Cambridge, MA · On-site

$114K - $136K/yr

Collaborating with data scientists, machine learning engineers, and software developers to achieve common goals; Developing and managing feature stores and model registries to ensure data and model ...

Senior Software Engineer, Data

Cambridge, MA

$133K - $176K/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 ...

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 ...

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 ...

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

As a Senior Data Science Engineer, you will leverage radar data to drive strategic decisions ... of software development methodologies and version control systems. • Strong analytical and ...

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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 Aug 31, 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:

Senior Software Engineer - Data Science

Boston, MA • On-site

1872 Consulting
IT Services • 11 - 50 employees

$133K - $175K/yr

Full-time

Re-posted 21 days ago


Job description

Job Summary:
1872 Consulting is a company seeking a Senior Software Engineer specialized in Data Science. The role involves designing and maintaining a scalable web analytics platform while integrating data science methodologies and collaborating with the solutions team to enhance platform capabilities.
Responsibilities:
• Design, build, and maintain a highly scalable web analytics platform
• Ensure that the platform meets business requirements and industry practices for security and privacy
• Integrate new technologies and data science methodologies into existing platform
• Collaborate with the solutions team on building and validating data science features
• Building, evaluating, and discussing machine learning pipelines; works with Solutions team to ensure the platform can support specific customer projects
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Math, or related technical/science field
• 5+ years of software engineering experience
• 2 years data science / machine learning experience
Preferred:
• Significant experience with Python
• Professional experience with the 'PyData' stack – e.g. NumPy, pandas, matplotlib, Jupyter Notebook
• Experience with Java and Apache Spark
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014