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

Deloitte

AI and Data Science Engineer III

Boston, MA · On-site +1

$124K - $149K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

TJX Companies

Data Scientist (Logistics)

Marlborough, MA · On-site +1

$76K - $97K/yr

Working closely with data science leaders, IT, and business partners, the Data ScientistIcommunicates complex findings through clear visualizations and business-ready narratives to drive both short ...

Tjx

Data Scientist (Logistics)

Marlborough, MA · On-site +1

$76K - $97K/yr

Working closely with data science leaders, IT, and business partners, the Data ScientistIcommunicates complex findings through clear visualizations and business-ready narratives to drive both short ...

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Chewy

Data Scientist III

Boston, MA · On-site +1

$141K - $225K/yr

Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Economics, Computer Science) or related experience. * 5+ years Data Science experience. * 4+ years of ...

Lennar

Lead Data Scientist

Boston, MA · On-site +1

Translate complex data science and statistical concepts into clear recommendations, stories, and visualizations for executives and non-technical audiences. * Favor incremental, explainable solutions ...

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Boston, MA

Remote Data Science information

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

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 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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
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What are popular job titles related to Remote Data Science jobs in Boston, MA? For Remote Data Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Boston, MA look for? The top searched job categories for Remote Data Science jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Data Science jobs? Cities near Boston, MA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Principal Data Engineer (Research, Manufacturing, Supply Chain) - REMOTE

Principal Data Engineer (Research, Manufacturing, Supply Chain) - REMOTE

Vertex Pharmaceuticals

Boston, MA • On-site, Remote

$148K - $222K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Job Description
We are seeking a dedicated Principal Data Engineer with a passion for pharmaceutical research, to lead and manage our critical Data Engineering team as they strategically enable scientists across Vertex with data. As part of the Data & Software Engineering (DSE) Team, you will be responsible for developing, curating, and maintaining data assets that enable our scientists and manufacturing and supply chain teams to make timely, informed, and critical decisions..
You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex's cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics. Using the VDP, you will help ensure that our scientists are equipped with information to drive their analysis, models, and investigations.
Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical to ensure that the Vertex's research data platform continues to accelerate and enable our data scientists to drive innovation and insight.
Key Responsibilities:
  • Data Engineering - Integrate & curate data from research systems & artifacts to support analytics, modelling, machine learning, and investigation. Collaborate closely with our research engagement teams to understand requirements, and translate them into data solutions
  • Data Engineering management - Manage, maintain, and improve the Vertex Data Platform solutions that support & enable research scientists and manufacturing and supply chain analytics teams
  • Delivery management - Estimate, architect, and execute on delivery of critical data solutions across research, manufacturing, and supply chain domains in partnership with the DSE leadership team
  • Operations Management - Manage a team of data engineers to maintain compliant, timely, secure, and reliable data workloads for Research. Work alongside our DSE MLOps team to support complex workloads that leverage curated & model ready data
  • Innovation champion - Advocate for process enhancements and opportunities to improve our capabilities with a focus on efficiency, scale, and data connectivity

Qualifications:
  • Minimum of 9 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies
  • Minimum of 9 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance
  • Prior experience leading Data Engineering projects and teams
  • 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms
  • Demonstrated experience with pipeline technologies like Astronomer / Airflow, MLFlow, etc.
  • Demonstrated ability to work independently and manage multiple projects that require collaboration across functional areas.
  • Skillful, collaborative team player able to develop rapport and credibility with stakeholders.
  • Demonstrated ability and willingness to teach, engage and support others as they learn new technologies and concepts.
  • Enthusiasm for and the ability to quickly learn new technologies and tackle difficult problems
  • Strong presentation, verbal, and written communication skills
  • Working knowledge of key workflow tools, including JIRA and Confluence

#LI-REMOTE
Pay Range:
$148,000 - $222,000
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Remote-Eligible
Flex Eligibility Status:
In this Remote-Eligible role, you can choose to be designated as:
1. Remote: work remotely five days per week and come into the office on occasion - you're always welcome on-site; or select
2. Hybrid: work remotely up to two days per week; or select
3. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Remote
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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