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Data Science Entry Jobs in Massachusetts (NOW HIRING)

Integrated Resources INC

Data entry associate

Lexington, MA · On-site

$18 - $23.25/hr

Data entry from batch records into electronic files and GMP systems, including but not limited to ... Qualifications AS or BS in Science Field Additional Information Ankita Teja Technical Recruiter ...

Omni Inclusive

Quality - Data Entry Specialist

Devens, MA · On-site

$19 - $25.25/hr

100% onsite Data Entry Specialist In the Data Entry Specialist role candidate will be responsible ... Bachelor's Degree in Chemistry, Chemical Engineering, Biomedical Science or equivalent degree ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$120K - $150K/yr

Associate's degree in Data Science, Health Informatics, or a related field * 1-3 years of experience in data analysis or a related role * Strong analytical skills with a focus on oncology-related ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

Provide support in data entry, validation, and quality control processes * Utilize statistical software and tools for data analysis Requirements * Bachelor's degree in Data Science, Health ...

MORSE Corp

Technical Recruiter

Cambridge, MA

... data science, and engineering roles * Utilize outbound sourcing strategies to find talented candidates from entry to executive level * Own the full cycle recruiting process from initial contract ...

MORSE Corp

Technical Recruiter

Cambridge, MA · On-site

$70K - $120K/yr

... data science, and engineering roles * Utilize outbound sourcing strategies to find talented candidates from entry to executive level * Own the full cycle recruiting process from initial contract ...

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How much do data science entry jobs pay per hour?

As of Jul 14, 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.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

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.

What are Data Science Entry jobs?

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.

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.

What are the key skills and qualifications needed to thrive as an Entry-Level Data Scientist, and why are they important?

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 are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
What are popular job titles related to Data Science Entry jobs in Massachusetts? For Data Science Entry jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in Massachusetts look for? The top searched job categories for Data Science Entry jobs in Massachusetts are:
Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,236 per year, or $21.3 per hour.
Lead Data Scientist

Lead Data Scientist

Federal Reserve Bank of Boston

Boston, MA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
The Federal Reserve Bank of Boston is dedicated to promoting sound growth and financial stability. As the Lead Data Scientist, you will spearhead data science projects, guide a team of data scientists, and collaborate with cross-functional teams to implement data-driven strategies and solutions.
Responsibilities:
• Lead and mentor a team of data scientists and engineers.
• Define and drive the data science strategy in alignment with department goals.
• Foster a culture of continuous learning and improvement within the team.
• Oversee and manage multiple data science projects from inception to completion.
• Ensure timely delivery of high-quality results that meet business requirements.
• Design and develop software that enable research into modular, efficient, reusable, and maintainable scripts or packages.
• Design and implement advanced statistical models, machine learning algorithms, and data processing techniques.
• Utilize a variety of tools and methods to answer research questions from complex datasets.
• Work closely with economists and other stakeholders to understand their data needs and deliver solutions that drive business outcomes.
• Develop and promote best practices for reproducible research workflows.
• Communicate findings and recommendations effectively.
• Stay current with industry trends and emerging technologies.
• Identify opportunities for incorporating new methods and technologies into our data science practices.
• Oversee data collection, storage, and processing to ensure data quality and integrity.
• Implement best practices for data governance and security.
• Develop and maintain dashboards, reports, and visualizations that provide clear and actionable insights to stakeholders.
Qualifications:
Required:
• Minimum B. Sc. Computer Science with Statistics or Mathematics.
• Minimum of 7 years of experience in data science, including at least 3 years in a technical leadership role.
• Proficiency in modern statistical and general-purpose programming languages.
• Expertise in data analysis, machine learning, and statistical modeling.
• Experience with data visualization tools and big data technologies.
• Strong problem-solving abilities with a deep understanding of statistical methods and data analysis techniques.
• Demonstrated ability to lead, motivate, and mentor a team of data professionals.
• Excellent organizational and project management skills.
• Strong verbal and written communication skills.
• Ability to present complex technical concepts to non-technical stakeholders.
• Proven experience working in a cross-functional team environment and building strong relationships with stakeholders.
• All candidates must be U.S. citizens or lawful permanent resident aliens with at least three or more years of U.S. residency from the date of legal entry to the U.S.
Preferred:
• Advanced degree preferred.
• Familiarity with programming languages: Python, R, Stata, SQL.
• Familiarity with frameworks: Apache Spark, Apache Airflow.
• Familiarity with cloud services: AWS (Lambda, EC2, ECS, IAM, Athena, S3).
• Familiarity with deployment tools: Ansible, Terraform.
• Familiarity with operating systems: Linux (Alma, Red Hat).
• Familiarity with statistical methods: Descriptive statistics, generalized linear models, basic econometrics.
• Familiarity with machine learning methods: Ability to translate a business or research problem into a model that can be trained or estimated.
• Familiarity with common domains including clustering, regression, and neural networks.
• Familiarity with LLMs, parameter efficient fine-tuning, and RAG.
• Familiarity with development tools: Git, GitLab.
Company:
Federal Reserve Bank of Boston promotes sound growth and financial stability in New England and the nation. Founded in 1914, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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