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Weekend Data Science Jobs in Cambridge, MA (NOW HIRING)

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and problem-solving skills.

Dlapiper

Data Scientist

Boston, MA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

New

LEK

Data Scientist

Boston, MA · On-site

$110 - $120/hr

This role sits withinourData Science & Engineering team andoperatesat the intersection ofadvanced ... Supportend-to-end data science projectsfrom conceptualization through to deployment,and deploy ...

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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Cambridge, MA

Weekend Data Science information

See Cambridge, MA salary details

$41K

$134.2K

$214.8K

How much do weekend data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for weekend data science in Cambridge, MA is $134,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $148,600.00 per year, depending on experience, location, and employer.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Cambridge, MA?

The most popular types of Data Science jobs in Cambridge, MA are:

What are popular job titles related to Weekend Data Science jobs in Cambridge, MA?

For Weekend Data Science jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Cambridge, MA look for?

The top searched job categories for Weekend Data Science jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Weekend Data Science jobs?

Cities near Cambridge, MA with the most Weekend Data Science job openings:

Weekend Data Science jobs near you

Principal Scientist, Data Science - Digital Media

Jj

Cambridge, MA

Full-time

Retirement, PTO

Re-posted 3 days ago

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson Innovative Medicine R&D Data Science is recruiting for a Principal Scientist, Data Science

The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

This role will serve as a strategic leader and subject-matter expert, defining the vision and execution strategy for data products within Medical Imaging and Digital Media. The role is responsible for advancing next-generation, data-driven capabilities that enable scalable insights and innovation across therapeutic and disease areas.

The position will lead critical workstreams in partnership with therapeutic and disease area teams, unlocking value through the integration of advanced data, technology, and domain expertise. The role will also reimagine existing processes, challenge the status quo, and drive modernization of imaging data ecosystems to improve efficiency and impact.

A strong foundation in medical imaging is essential, with the ability to translate complex, multi-modal imaging data into actionable data products and clinically relevant insights.

Responsibilities Include

  • Define Data Product Vision: Articulate an end-to-end strategy for imaging data products, spanning ingestion, curation, integration, and consumption.

  • Drive Data Product Delivery: Lead development and scaling of medical imaging data products aligned to clinical trial and therapeutic needs.

  • Enable Data Standards & Governance: Promote adoption of FAIR data principles and ensure compliance with regulatory, privacy, and ethical standards.

  • Partner with Domain Leaders: Collaborate with therapeutic and disease area teams to translate business needs into scalable data product solutions.

  • Lead Cross-functional Execution: Work across data science, engineering, clinical, and external partners (CROs/vendors) to deliver impactful outcomes.

  • Modernize Imaging Ecosystems: Drive transformation of imaging pipelines, platforms, and workflows to improve operational efficiency and scalability.

  • Expand Data Product Portfolio: Support strategic growth of imaging-focused data capabilities aligned to clinical development priorities.

Education

  • Master's degree required; PhD or equivalent preferred

  • Advanced degree in Imaging Health Sciences or related field

  • Background in Radiology, Diagnostic Imaging, Interventional Medicine, Medical Physics, or similar

Experience & Skills

  • 10+ years of experience in medical imaging and multi-modal data environments

  • Strong experience building and scaling data products or data platforms

  • Demonstrated leadership in cross-functional and vendor collaborations

  • Hands-on expertise in imaging data standards (e.g., DICOM), PACS, and multi-modal data pipelines

  • Familiarity with advanced analytics and AI/ML (e.g., computer vision) in imaging contexts

  • Ability to translate complex imaging data into business and clinical value

  • Strong stakeholder engagement across clinical trial teams, data stewards, and technology partners

  • Demonstrated credibility as a subject-matter expert in imaging (research, publications, or equivalent experience is a plus)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD

Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
The following link to general company benefits information MUST also be included in the posting: Please use the following language:
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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