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Remote Data Science Jobs in Worcester, MA (NOW HIRING)

Intellisoft Technologies

Data Engineer

Waltham, MA · Remote

$58/hr

... Science and Machine Learning is nice to have Position: Senior Data Engineer Location: Remote As a Senior Data Engineer, you will be part of a cross-functional development team that is focused on ...

Kaav Inc.

Data Analyst - Junior

Framingham, MA · Remote

... remote. Please indicate the location at the top of the resume! Description: Create Power BI ... Data Science, Information Technology, Computer Science, etc.) • 3-5 years of professional ...

TetraScience

Scientific Data Architect

Waltham, MA · On-site +1

$68.75 - $88.50/hr

... science industry. What You Have Done * PhD with 5+ years / Masters with 7+ years of industry ... Remote Work, when not visiting customers onsite We are not currently providing visa sponsorship for ...

GlaxoSmithKline

Director Clinical Pharmacology

Waltham, MA · On-site +1

$188.10K - $313.50K/yr

This role is based in UK or US, with remote working or placement at other European GSK sites ... data science, computational biology, clinical, etc.). Maintain strong networks and share best ...

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$24.1K

$107K

$204.2K

How much do remote data science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data science in Worcester, MA is $106,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,264.00 and $148,396.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Worcester, MA? The most popular types of Data Science jobs in Worcester, MA are:
What are popular job titles related to Remote Data Science jobs in Worcester, MA? For Remote Data Science jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Worcester, MA look for? The top searched job categories for Remote Data Science jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Remote Data Science jobs? Cities near Worcester, MA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Worcester, MA as of May 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Data Engineer

Intellisoft Technologies

Waltham, MA • Remote

$58/hr

Other

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

Job description

Position: Senior Data Engineer
Location: Waltham, MA / Remote (EST)
Duration: 6+ Months
Client: National Grid - Boston
Visa Restrictions: None
Sub Vending: No
Pay Rate: $58/Hr on W2 without benefits
Bill Rate: $80
Candidate must have a Public Profile.
Yes
100% remote! EST hours
Required Skills
• Skilled in object-oriented programming (Python in particular) • Strong Experience in Python, PySpark and SQL • Strong Experience in Databricks • Experience developing integrations across multiple systems and APIs • Experience with or knowledge of Agile software development methodologies • Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions) • Experience using SQL queries as well as writing and perfecting SQL queries in a business environment with large-scale, complex datasets • Experience with data warehouse technologies. Experience creating ETL and/or ELT jobs • Excellent problem solving and troubleshooting skills • Process oriented with great documentation skills • Experience designing data schemas and operating SQL/NoSQL database systems is a plus
Additional Skills
• Experience in software engineering • Experience in Snowflake Experience in Kafka, Flink ,Fivetran and Matillion is nice to have • Experience in Data Science and Machine Learning is nice to have
Job Description
Position: Senior Data Engineer
Location: Remote
Job Description:
As a Senior Data Engineer, you will be part of a cross-functional development team that is focused on creating a forecasting platform at National Grid available to our business teams. Using the agile framework, you will build end-to-end pipelines based on rigorous engineering standards and coding practices to deliver data that is accessible and of the highest quality. A Senior Data Engineer will also contribute to the modernization of our architecture and tools to help increase our output, scalability, and speed.
A Senior Data Engineer will design and develop highly scalable and extensible data pipelines which enable collection, storage, distribution, modeling, and analysis of large data sets from many channels. This position requires an innovative software engineer who is passionate about data & data quality. The ideal candidate will have strong data warehousing and API integration experience and the ability to develop scalable data pipelines that make data management and analytics/reporting faster, more insightful, and more efficient.
• Develop, test, document and support scalable data pipelines
• Build out and evolve data integrations including APIs to support continuing increases in data volume and complexity
• Establish and follow data governance processes and guidelines to ensure data availability, usability, consistency, integrity, and security
• Build, implement, and maintain scalable solutions that align to our data governance standards and architectural road maps for data integrations, data storage, reporting, and analytic solutions
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization
• Design and develop data integrations and a data quality framework. Write unit/integration/functional tests and document work
• Design, implement, and automate deployment of our distributed system for collecting and processing streaming events from multiple sources
• Perform data analysis needed to troubleshoot data-related issues and aid in the resolution of data issues
• Guide and mentor junior engineers on coding best practices and optimization
Qualifications:
• Education: 4-year college degree or equivalent combination of education and experience. Prefer an academic background in Computer Science, Mathematics, Statistics, or related technical field
• 5 years of relevant work experience in analytics, data engineering, business intelligence or related field
• Skilled in object-oriented programming (Python in particular)
• Strong Experience in Python, PySpark and SQL
• Strong Experience in Databricks
• Experience developing integrations across multiple systems and APIs
• Experience with or knowledge of Agile software development methodologies
• Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions)
• Experience using SQL queries as well as writing and perfecting SQL queries in a business environment with large-scale, complex datasets
• Experience with data warehouse technologies. Experience creating ETL and/or ELT jobs
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Experience designing data schemas and operating SQL/NoSQL database systems is a plus
• Experience in Kafka, Flink ,Fivetran and Matillion is nice to have
• Experience in Data Science and Machine Learning is nice to have
Nice to have:
• Experience in software engineering
• Experience in Snowflake

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