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Full Stack Data Scientist Jobs in Massachusetts (NOW HIRING)

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

Our data science projects range from demand forecasting to contextual multi-armed bandits for personalized recommendations, with data scientists supporting the full ML stack including contributing to ...

Full Stack Developer

Woburn, MA · On-site

$175K - $240K/yr

MA staff combine with other science and engineering staff from the various STR research and ... data. Offers are based on factors, such as but not limited to, the candidate's experience ...

MA staff combine with other science and engineering staff from the various STR research and ... data. Offers are based on factors, such as but not limited to, the candidate's experience ...

You'll make thoughtful, forward looking decisions with our UX designer and voice processing scientists across the full web, backend and storage stack, preparing for orders of magnitude in growth ...

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science ... Full-stack application development across modern front-end and back-end technologies * Large ...

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science ... Full-stack application development across modern front-end and back-end technologies * Large ...

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

Our data science projects range from demand forecasting to contextual multi-armed bandits for personalized recommendations, with data scientists supporting the full ML stack including contributing to ...

Bachelor's degree in computer science, engineering, or a related discipline, or equivalent work ... Strong SQL (DB2/Oracle/SQL Server) and data analysis and transformation skills * Proven experience ...

Our data science projects range from demand forecasting to contextual multi-armed bandits for personalized recommendations, with data scientists supporting the full ML stack including contributing to ...

Showing results 41-60

Full Stack Data Scientist information

See Massachusetts salary details

$50.2K

$180.2K

$265.9K

How much do full stack data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full stack data scientist in Massachusetts is $180,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,800.00 and $185,700.00 per year, depending on experience, location, and employer.

What is a full stack data scientist?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do full stack data scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

What are the key skills and qualifications needed to thrive as a full stack data scientist?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What are the most commonly searched types of Full Stack Data Scientist jobs in Massachusetts?

The most popular types of Full Stack Data Scientist jobs in Massachusetts are:

What are popular job titles related to Full Stack Data Scientist jobs in Massachusetts?

For Full Stack Data Scientist jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Scientist jobs in Massachusetts look for?

The top searched job categories for Full Stack Data Scientist jobs in Massachusetts are:

Infographic showing various Full Stack Data Scientist job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $180,220 per year, or $86.6 per hour.

Senior Engineer, Full Stack Engineering

Trinity Life Sciences

Waltham, MA • On-site

$150 - $200/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

## Senior Engineer, Full Stack EngineeringApplylocations: New York, NY: Princeton, NJ: Waltham, MA - Headquarterstime type: Full timeposted on: Posted Yesterdayjob requisition id: JR100730Senior Full Stack Software Engineer**Location:** Waltham, MA; New York, NY; Princeton, NJ**Employment Type:** Full-Time**Work Mode:** Hybrid**Position Summary**We're looking for an exceptional engineer who loves building cloud-native applications with AI at their core. If you thrive where modern infrastructure meets intelligent software, this is your role.**What You'll Do*** Architect and ship scalable cloud apps on AWS, Azure, or GCP (Lambda, ECS, Kubernetes) with event-driven microservices and serverless architectures* Build AI/ML integrations using modern frameworks while driving best practices for prompt engineering, RAG patterns, and agent orchestration* Lead technical architecture decisions, code reviews, and define development standards and technical roadmaps* Own the full stack—from pixel-perfect, accessible UI implementation to robust Django REST and GraphQL APIs* Build real-time features using WebRTC, WebSockets, and Server-Sent Events* Create and enforce engineering excellence through coding standards, comprehensive testing strategies (unit, integration, agent-based, E2E), documentation, and deployment patterns* Champion DevOps practices, security compliance, and CI/CD pipelines while establishing observability with APM tools* Lead and mentor teams through agile delivery, establishing engineering culture through technical leadership and knowledge sharing* Collaborate with data engineering teams on pipeline integration and consumption patterns* Lead production incident response, post-mortems, and evaluate emerging AI/ML tools and frameworks* Bridge product, design, and engineering to deliver fit-for-purpose client solutions**What You'll Bring*** 8+ years building production-grade solutions with proven tech leadership* Expert in React web apps, React native with state management (Redux, Zustand), TypeScript, modern JavaScript, and responsive component libraries* Expert in building AI applications with LangGraph, LangChain, LlamaIndex, AWS Bedrock, OpenAI APIs, including token optimization, cost management, and streaming responses* Expert in Python and Django with REST and GraphQL API design, plus async patterns (asyncio, FastAPI) for AI workloads* Experience with multi-modal AI (text, images, documents), fine-tuning, model adaptation, and understanding of data quality and governance in AI contexts* Hands-on Docker and containerization with CI/CD pipeline creation (Git, Jenkins, Artifactory)* Deep cloud platform development experience (AWS, Azure, GCP) with serverless, containers, and understanding of security, IAM, and authentication patterns (OAuth, JWT, SSO)* Experience with RDBMS, NoSQL, and semantic databases, including schema design and query optimization* Proficiency with testing frameworks (Jest, Pytest, Selenium) and build tools (Webpack, Vite) with Git workflows and trunk-based development* Experience with monitoring and logging tools (CloudWatch, Sentry, Langfuse)* Clear communicator who takes initiative, follows through, and thrives as a collaborative problem-solver in fast-paced environments* Life sciences background* Cloud or AI developer certifications (AWS/Azure/GCP)* Shipped AI-powered features to production* LLM and AI agent development experience* Open-source contributions* PWA development and edge computing optimization**About Trinity**Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. The base salary range for this role is $128,000 - $192,000 per year. Compensation is determined based on factors such as the candidate’s skills, experience, job-related education and training, location, and internal equity. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.**Trinity’s Commitment to Inclusion & Engagement (I&E)** Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We’ve evolved from a traditional “DEI” framework to Inclusion & Engagement (I&E)—a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives—they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity’s commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences. #J-18808-Ljbffr