Massachusetts

Data Jobs in Massachusetts

58 jobs found

Include remote jobs

Today

Natural Language Processing Data Scientist

VA Boston Healthcare System Boston, MA

Boston, MA

Today

$121k - $157k/yr Full time Python Artificial Intelligence Clinical Data

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Job Description

This onsite role in Boston, MA offers a competitive salary and a comprehensive benefits package within the VA Boston Healthcare System. The annual compensation ranges from USD 120,548 to 156,718, with benefits designed to support work-life balance, health and financial security.

Benefits

Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Retirement plan
Vision insurance

The Natural Language Processing Data Scientist role focuses on information extraction from unstructured clinical text, NLP data curation, and building NLP pipelines to support research and healthcare decisions.

Responsibilities

Lead the design and deployment of advanced information extraction and analysis within a healthcare setting, applying Python based NLP methods.
Oversee creation and governance of validated NLP datasets using Label Studio, ensuring high data quality across the project lifecycle.
Develop, maintain, and optimize end to end data and algorithm pipelines, following data science lifecycle best practices.
Improve NLP and data science infrastructure by creating reusable code and resources for researchers, engineers, and clinicians.
Collaborate with clinicians and data teams to guide research initiatives, offering expert NLP insights to meet complex clinical needs.
Prioritize and manage multiple projects concurrently, monitoring progress and delivering milestones on schedule.
Communicate findings through written reports, presentations, and manuscripts tailored to technical and non technical audiences.
Stay current with developments in NLP, ML, and data science and apply best practices to raise the impact of research and analytics activities.

Requirements

U.S. citizenship is required and the candidate must clear a U.S. government background check.
Degree in Mathematics, Statistics, Computer Science, Data Science or a directly related field; the major should be suitable for the position at the bachelor level or higher.
Alternatively, a combination of education and experience can satisfy the requirement: courses totaling 30 semester hours in the major field plus additional relevant education or experience.

Technologies

Python
Label Studio
SQL
Git/Github
GPT-OSS
Llama
Mixtral

Note

Reference OPM classification standards: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

How to apply

Applicants should submit a cover letter, resume or CV that clearly identifies employment dates, whether positions were full time or part time, and hours per week for all roles, along with transcripts. Include “NLP Data Scientist” in the subject line and email materials to Karlynn.Dulberger@va.gov. Please confirm U.S. citizenship in your cover letter.

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1d ago

AI Engineer

Rockland Trust Massachusetts

Massachusetts

1d ago

Full time Python Agent To Agent AI

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Job Description

Rockland Trust is seeking an experienced AI Engineer to develop and deploy advanced machine learning and generative AI solutions in Massachusetts onsite, delivering business value through intelligent systems.

Responsibilities

Create and implement production ready ML models and generative AI applications using modern frameworks and approaches
Develop and optimize Retrieval Augmented Generation pipelines for enterprise knowledge bases and automated document workflows
Integrate Model Context Protocol (MCP) and agent to agent context engineering solutions to orchestrate complex AI workflows
Establish feedback loops and monitoring to drive continuous performance improvements and reliability
Design and sustain MLOps pipelines covering training, versioning, deployment, and monitoring
Build AI agents with LangChain and LangGraph to enable autonomous decision making and workflow automation
Collaborate with data engineering teams to construct robust data pipelines and feature engineering workflows
Mentor junior data scientists and help establish AI best practices and standards

Requirements

Minimum five years of experience in data science, ML, or related fields
Proven expertise in generative AI technologies including large language models, prompt design, and context management
Practical experience building RAG systems using vector databases and semantic search
Experience with LangChain, LangGraph and agent based architectures
Familiarity with MCP and A2A context engineering patterns
Strong grasp of traditional ML algorithms such as regression, classification, clustering, and time series
Solid MLOps background including CI/CD, model versioning, and monitoring tools
Experience with the Hugging Face ecosystem (Transformers, Datasets, Hub)
Hands on experience with TensorFlow and/or PyTorch for model development
Advanced Python programming skills with production grade code experience
Experience designing and implementing feedback loops for ongoing model improvement
Experience deploying ML solutions on cloud platforms such as AWS, Azure, or GCP
Excellent communication skills able to convey complex technical concepts to non technical stakeholders

Technologies

Python
SQL
TensorFlow
PyTorch
scikit-learn
LangChain
LangGraph
Hugging Face
Docker
Kubernetes
MLflow
Weights & Biases
AWS
Azure
GCP
Pandas
NumPy
Pinecone
Weaviate
Chroma
OpenAI API
Anthropic Claude API
Transformers
Datasets
Hugging Face Hub
Git

Benefits

Competitive compensation with performance incentive awards
Health Insurance
Dental Insurance
401K plan
DC Plan
Long term Disability (LTD) Insurance
Life Insurance
Day Care Reimbursement
Tuition Assistance for graduate and undergraduate programs
Award winning Wellness program

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3d ago

AI Engineer

Eastern Bank Wakefield, MA

Wakefield, MA

3d ago

$72k - $110k/yr Full time Ai Automation Artificial Intelligence Automation

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Job Description

Easter n Bank, Wakefield, MA (onsite), seeks a junior to mid-level AI Engineer with a salary range of USD 72,214 to 110,000 per year.

Responsibilities

Design, implement, and sustain AI agents and automated workflows across the bank using Claude, Microsoft Copilot, Azure AI Services, Power Platform, and SharePoint.
Develop scalable retrieval-augmented generation (RAG) pipelines and robust prompt-engineering architectures.
Prototype and productionize AI solutions to streamline day-to-day operations across the organization.
Collaborate with cross-functional teams to map business processes, identify pain points, and uncover automation opportunities.
Translate business requirements into clear technical specifications and solution designs.
Act as a trusted technical advisor for embedded AI initiatives across business divisions.
Develop and optimize retrieval systems, prompt architectures, and agent workflows to improve accuracy and effectiveness.
Evaluate AI solutions using user feedback, performance metrics, and business outcomes to drive improvements.
Assist in establishing governance for enterprise AI tools, including access management, usage policies, and documentation.
Promote responsible AI practices with emphasis on data privacy, security, and regulatory compliance.
Support administration and enablement of AI platforms across the organization.

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
1-4 years of experience in software engineering, data engineering, machine learning, or a related technical role.
Hands-on experience with large language models (LLMs) and enterprise cloud or collaboration platforms.
Hands-on experience with AI and LLM platforms such as Claude, OpenAI, Gemini, or equivalents.
Experience with prompt engineering, AI agents, and agent frameworks.
Familiarity with Microsoft technologies including Azure, Copilot, Power Platform, and Microsoft 365 development or administration tools.
Experience building integrations via APIs, Model Context Protocol (MCP), data pipelines, and related integrations.
Understanding of AI governance, responsible AI practices, and enterprise AI administration.
Strong analytical and problem-solving abilities, with excellent verbal and written communication.
Ability to translate complex technical concepts into clear business solutions.
Proven ability to work independently while collaborating across multiple teams.
Experience in financial services or other regulated industries is a plus.

Technologies

Claude
Microsoft Copilot
Azure AI Services
Power Platform
SharePoint
OpenAI
Gemini
Azure
Microsoft 365 development tools
Model Context Protocol (MCP)

Benefits

Total Rewards benefits program
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Retirement plan
Paid vacation
Tuition reimbursement

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4d ago

Population Health Data Engineer

Software Technology Inc Charlestown, MA

Charlestown, MA

4d ago

Full time Applied Epic Claims Data Pipelines Clinical Data

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Job Description

Two experienced Population Health Data Engineers are needed in Charlestown, MA ( hybrid ) to help build scalable data pipelines and integrate clinical and claims data for population health analytics. The role emphasizes data quality, governance, and HIPAA compliance, with collaboration across Healthy Planet, clinical, quality, and analytics teams to deliver data-driven solutions that support quality measurement, risk analytics, and utilization insights.

You will work within the Epic data ecosystem, design ELT pipelines on modern cloud platforms, and develop data models that enable longitudinal patient level analytics, care management, and payer-provider benchmarking. This is a collaborative role in a healthcare analytics environment that values clear data governance and measurable impact.

Responsibilities

Design, build, and maintain scalable data pipelines for population health and claims analytics.
Work extensively with Epic data platforms, including Clarity, Caboodle, Chronicles, Registries & Rosters.
Integrate clinical and claims data to support longitudinal patient level analytics.
Develop and optimize data models for quality measures, risk stratification, and utilization/cost analysis.
Support care management initiatives.
Build and support risk adjustment models (HCC, RAF, MARA).
Process and transform medical and pharmacy claims data.
Work with Milliman MedInsight data models for payer-provider analytics and benchmarking.
Develop and optimize ELT pipelines using modern cloud platforms.
Collaborate with Healthy Planet, clinical, quality, and analytics teams to deliver data driven solutions.
Ensure data quality, governance, and HIPAA compliance.
Optimize performance for large datasets and complex SQL queries.

Requirements

Hands-on experience with Epic Clarity and Caboodle
Chronicles data structures
Experience with Epic Registries and Healthy Planet
Background in Population Health and Value Based Care
Knowledge of risk adjustment (HCC, RAF, MARA)
Snowflake data warehousing experience
DBT (Data Build Tool) proficiency
Snowflake Dynamic Tables
Advanced SQL and data modeling expertise
Experience building and maintaining data pipelines
Medical and pharmacy claims data experience
Payer-provider analytics domain experience
Milliman MedInsight experience preferred
Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering or related field
6+ years of experience in data engineering
Healthcare, Population Health analytics, and payer environments (preferred)

Technologies

Epic Clarity
Epic Caboodle
Chronicles
Epic Registries / Healthy Planet
Snowflake
DBT (Data Build Tool)
Dynamic Tables (Snowflake)
Milliman MedInsight
SQL

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4d ago

Human Resources Data Analyst

BRISTOL COUNTY SAVINGS BANK North Attleboro, MA

North Attleboro, MA

4d ago

$60k+/yr Part time Analyst Analytical Skills Analytics

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Job Description

Bristol County Savings Bank is seeking a highly motivated and detail-focused Human Resources Data Analyst to join our onsite team in North Attleboro, MA. This part-time role emphasizes turning HR data from payroll, performance reviews, and employee surveys into actionable insights to guide strategic decisions. The position offers USD 60,000 per year and requires a bachelor's degree.

Responsibilities

Collect, analyze, and interpret HR data from various sources, including payroll, performance reviews, and employee surveys.
Develop and maintain data dashboards and reports to track key HR metrics and identify trends.
Conduct in-depth data analysis to support HR initiatives such as talent acquisition, employee development, and compensation.
Collaborate with HR professionals to identify data-driven solutions to address HR challenges.
Ensure data accuracy and integrity through regular audits and quality checks.
Will create and maintain a QC schedule.
Stay up to date with industry best practices and emerging trends in HR analytics.
Additional duties as required within the HR department.

Requirements

Bachelor's degree in Human Resources, Business Analytics, Statistics, or a related field.
Proficiency in data analysis tools such as Excel, PowerBI, Python, Tableau, Microsoft Fabric and other statistical software.
Experience working with and interpreting HR data, trends and metrics.
Excellent analytical and problem-solving skills.
Strong attention to detail and accuracy.
Ability to work independently and forge strong collaborative partnerships with the team.
Excellent communication and interpersonal skills.

Technologies

Excel
PowerBI
Python
Tableau
Microsoft Fabric

Overview

The successful candidate will play a crucial role in analyzing and interpreting human resources data to support strategic decision-making within the organization. This position emphasizes rigorous data work to inform HR initiatives and improve outcomes across talent management, development, and compensation.

Independent Action

Performs work within established guidelines and according to specific procedures. May resolve some problems rather than referring them to manager.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Any physical demands or work conditions described here are representative of those that must be met by an employee to successfully perform the essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EEO Statement

Bristol County Savings Bank is an Equal Opportunity Employer and is committed to a diverse workforce. The Bank considers applicants for employment without regard to race, color, sex, sexual orientation, national origin, age, genetic information, veteran status, disability or membership in any other protected class as defined by law.

Visit Our Website

Website: https://www.bristolcountysavings.com/

LinkedIn: https://www.linkedin.com/company/bristol-county-savings-bank/

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7d ago

Expert Consultant, Coro, AI Engineer

Bain & Co. Boston, MA

Boston, MA

7d ago

$129k - $172k/yr Full time Python Agentic Ai Artificial Intelligence

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Job Description

This role places you as an AI Engineer within Bain's Coro team, developing GenAI powered tools and data analytics to support Commercial Excellence. The focus is on LLM driven features, agentic workflows, and delivering production ready AI applications.

Responsibilities

Develop AI powered tools and products that deliver measurable business outcomes.
Design GenAI applications such as copilots, workflow automation, and decision support for commercial teams using modern large language model stacks.
Implement agentic workflows with emphasis on reliability, safety, and clear failure modes, including tool usage, multi-step execution, and human in the loop controls.
Design and build advanced search, retrieval, and knowledge pipelines across diverse data stores, covering hybrid search, vector stores, graphs/knowledge graphs, and traditional data platforms, with indexing strategies, metadata design, relevance tuning, freshness, caching, access controls, and source attribution.
Develop robust agent capabilities including context engineering, memory and state management, orchestration, routing, and tool integration patterns.
Integrate AI solutions into enterprise environments and workflows via APIs, data systems, and collaboration tools, balancing quality, latency, cost, privacy, and adoption.
Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.
Build and apply data science and machine learning capabilities, delivering end to end ML solutions from data preparation and feature engineering to model selection, training, validation, testing, and performance analysis.
Apply methods spanning classical ML and deep learning, including sequence, text, and image models when relevant.
Create reproducible training and evaluation pipelines with versioning, experiment tracking, robust validation, and clear documentation.
Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre training versus post training concepts such as instruction tuning and preference optimization.
Engineer for real delivery by writing clean, testable, maintainable code and shipping AI services through the full software development lifecycle: build, test, deploy, monitor, and iterate.
Implement MLOps and GenAIOps practices, including CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.
Build evaluation and observability for GenAI and agented systems, including tracing, instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt and policy optimization.
Design for secure enterprise deployment with access controls, auditability, handling of sensitive and PII data, and responsible AI guardrails.
Create reusable components and accelerators such as templates, evaluation harnesses, connectors, and orchestration patterns that scale across client contexts.
Thrive in a client facing consulting environment by communicating clearly with technical and non-technical stakeholders, leading working sessions, presenting recommendations, and producing concise technical documentation.
Collaborate with Bain consultants to prioritize critical technical decisions that unlock business value and support proposal shaping and scoping, including effort sizing, architecture options, risk assessment, and delivery roadmaps.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
3–5+ years of professional AI / ML engineering experience with strong backend fundamentals.
Strong Python proficiency and experience building APIs / services (REST or gRPC) and integrating with enterprise systems.
Hands-on experience delivering LLM powered applications with attention to latency, cost, reliability, and security.
Experience building advanced retrieval and search systems (hybrid retrieval, vector search, reranking) and working across multiple data stores (vector, graph, relational, document, and search platforms).
Experience implementing agentic patterns (context management, tool integration, orchestration, memory/state handling) with modern frameworks (eg, LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops, and sound judgment on when to apply agentic approaches.
Experience creating reusable skills, tools, and services (including MCP) for agent use, with schema validation to enforce reliable data contracts.
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.
Experience deploying and operating services on AWS, GCP, or Azure (environment management, reliability, observability, scaling).
Experience with Docker and Kubernetes (or equivalent orchestration) and operating services in production (debugging, performance, resilience).
Proven ability to implement security, privacy, and governance requirements for AI systems (authentication/authorization, access controls, PII handling, enterprise risk controls).
Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.
Practical experience with feature engineering and data preprocessing for real world datasets.
Familiarity with a broad set of ML algorithms (classical ML and deep learning) and ability to choose methods appropriate to business and data constraints.
Familiarity with deep learning frameworks (PyTorch or TensorFlow) and ML lifecycle tooling (experiment tracking, model registry, feature store concepts).
Proven ability to operate in ambiguity and complexity, manage competing priorities, and deliver outcomes independently or with a team.
Excellent interpersonal and communication skills, with the ability to explain technical decisions, tradeoffs, and results to mixed audiences.
Strong stakeholder management skills and comfort working directly with clients.

Technologies

Python
REST, gRPC
LangGraph
OpenAI Agents SDK
Pydantic AI
PyTorch, TensorFlow
Docker, Kubernetes
AWS, GCP, Azure
MCP
Graph databases

Benefits

Bain pays 100 percent of individual employee premiums for medical, dental, and vision coverage.
Generous paid time off including parental leave, sick leave, and holidays.
Fully vested 401(k) company contribution.
Paid life and long-term disability insurance.
Annual fitness reimbursements.

What makes us a great place to work

We are consistently recognized as a leading employer in the global market, including top rankings on Glassdoor. Exceptional teams drive our strategy, and we foster an inclusive environment that welcomes diverse backgrounds, cultures, and experiences. We hire talented individuals and create conditions for professional and personal growth.

U.S. Compensation Information

In the states listed (Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, California), the good faith annualized full-time salary range for this role is $128,500 to $171,500; placement within the range varies by experience, education, and other factors.
The role includes an annual discretionary performance bonus.
4.5% 401(k) company contribution, which increases after three years of service and is 100% vested from the start date.
Some elements of discretionary compensation may apply beyond the base and bonus.
For locations outside the listed states, compensation is commensurate with competitive geographic market rates.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

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8d ago

Human Resources Data Analyst

BRISTOL COUNTY SAVINGS BANK Taunton, MA

Taunton, MA

8d ago

$60k+/yr Part time Analyst Analytical Skills Analytics

Apply Now

Job Description

Part-time Human Resources Data Analyst role at Bristol County Savings Bank in Taunton, MA, focused on analyzing HR data to inform strategic decisions and support HR initiatives.

Responsibilities

Deliver timely, high-quality service to customers and the community within the scope of authority and expertise.
Collect, analyze, and interpret HR data from payroll, performance reviews, and employee surveys.
Develop and maintain dashboards and reports to monitor key HR metrics and identify trends.
Perform in-depth data analysis to support HR initiatives such as talent acquisition, employee development, and compensation.
Collaborate with HR professionals to identify data-driven solutions for HR challenges.
Ensure data accuracy and integrity through regular audits and quality checks; establish and maintain a QC schedule.
Stay current with industry best practices and emerging trends in HR analytics.
Additional duties as required within the HR department.

Requirements

Bachelor's degree in Human Resources, Business Analytics, Statistics, or a related field.
Proficiency with data analysis tools such as Excel, PowerBI, Python, Tableau, Microsoft Fabric, and other statistical software.
Experience working with HR data, trends, and metrics.
Excellent analytical and problem-solving abilities.
Strong attention to detail and accuracy.
Ability to work independently and forge strong collaborative partnerships with the team.
Excellent communication and interpersonal skills.

Technologies

Excel
PowerBI
Python
Tableau
Microsoft Fabric

Job details

Location: Taunton, MA (onsite)
Employment type: Part time
Salary: USD 60,000 per year
Education required: Bachelor's degree in HR, Business Analytics, Statistics, or related field