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Data Science Entry Jobs in Massachusetts (NOW HIRING)

Granite Telecommunications

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

... entry). * Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and ... Bachelor's degree in computer science, Data Science, Machine Learning, AI, or related fields ...

Career Site

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

... entry). * Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and ... Bachelor's degree in computer science, Data Science, Machine Learning, AI, or related fields ...

Jj

Principal Scientist, Vector Biology

Cambridge, MA · On-site

Strong data analysis and scientific communication skills; demonstrated ability to drive decisions with clear, reproducible results. * Experience with pseudovirus or live-virus entry/neutralization ...

Museum of Science

Research Associate

Boston, MA · On-site

Who We Are As science and technology increasingly shape our lives, the Museum of Science strives to ... Supports data entry, validation, and quality control processes related to prospect research

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Bachelor's degree in data Analytics, Computer Science, Information Systems, or a related field * 2+ ... Ability to read documents, use a computer, and perform data entry tasks. * Ability to communicate ...

AA2IT

Histology Scientist I

Boston, MA · On-site

$39/hr

Histology Scientist II Location: 33 Avenue Louis Pasteur, Boston, MA Rate: $39/HR Qualifications ... Proficiency in data entry and processing skills, along with a foundational understanding of basic ...

Verdantas

Staff Scientist I

Holden, MA · Hybrid

$55K/yr

Perform data entry, QA/QC review, and records management. * Support data analysis, visualization, and interpretation using scientific software and databases (i.e., R, ArcGIS, Microsoft Access and ...

Verdantas

Staff Scientist I

Holden, MA · On-site

$55K/yr

Perform data entry, QA/QC review, and records management. * Support data analysis, visualization, and interpretation using scientific software and databases (i.e., R, ArcGIS, Microsoft Access and ...

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How much do data science entry jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data science entry in Massachusetts is $21.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $23.89 per hour, depending on experience, location, and employer.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.
Data Science Entry jobs near you
Infographic showing various Data Science Entry 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 $44,236 per year, or $21.3 per hour.

Lead AI Engineer

Granite Telecommunications

Quincy, MA • On-site

$180K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

Key responsibilities

  • Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).

  • Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).

  • Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.

Granite Telecommunications rating

7.3

Company rating: 7.3 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

54th of 101 rated telecommunications companies

Job description

Summary of Position:
We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:
  • Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  • Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  • Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  • Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.
Duties and Responsibilities:
  • Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  • Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  • Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  • Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  • Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  • Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  • Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  • Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  • Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  • Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources

Required Qualifications:
  • Bachelor's degree in computer science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  • 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  • Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  • Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  • Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  • Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  • Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  • Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.

Preferred Qualifications:
  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  • Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  • Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  • Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  • Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  • Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  • Experience in regulated industries or environments requiring strict compliance and data governance standards.

Compensation Range:
The compensation range for this position is $180,000-$280,000 and represents the range that Granite reasonably and in good faith expects to pay for this role at the time of posting. This position is eligible for bonus.
Final compensation will be determined based on several factors, including but not limited to experience, education, job related skills, and overall alignment with the role.
#LI-SR1
Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.
Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.
Our offices have onsite fully equipped state of the art gyms for employees at zero cost.
Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.
We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.
Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.
Granite was recently named One of Forbes Best Employers for Diversity.
Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.
If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.
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