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Weekend Data Science Jobs in Edison, NJ (NOW HIRING)

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

  • Medical

  • Retirement

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

PepsiCo is seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. The role involves driving the technical vision, execution, and ...

Sr Specialist, Data Science

Rahway, NJ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Education RequirementsA minimum of a BS (or equivalent) in Marketing, Business Strategy, Business Consulting, Data Science, Computer Science, Statistics, Mathematics, Decision Science, Economics ...

Sr Specialist, Data Science

Rahway, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum of 3 plus years of relevant knowledge using data science and/or analytical techniques to deliver measurable impact in the commercial pharma landscape. Pharma Data Assets:Knowledge in mining ...

Position: Data Science Expert Type: Contract Compensation: $120-$170/hour Location: Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science ...

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

Data Science Associate Manager

Manhattan, NY · On-site

$120K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview We're seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution ...

VP Data Science As the VP of Data Science, you'll play a critical role in building a data-driven culture and driving strategic initiatives. You'll leverage a rich data-set built on a mature data ...

VP Marketing Data Science

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The VP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the SVP Marketing Data Science. This role will ...

Data Engineer, GCS Data Science

New York, NY · On-site

$125K - $150K/yr

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 1 year of experience designing data pipelines (ETL) and model data. * Experience analyzing data ...

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate business requirement to analytical model * Communicate directly with business users * Technical Skills ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate business requirement to analytical model * Communicate directly with business users * Technical Skills ...

Showing results 41-60

Weekend Data Science information

See Edison, NJ salary details

$38.8K

$127.1K

$203.4K

How much do weekend data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for weekend data science in Edison, NJ is $127,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $140,800.00 per year, depending on experience, location, and employer.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends if their projects or deadlines require it, but many roles follow a standard weekday schedule. Flexibility depends on the employer, project needs, and whether the position involves on-call or urgent tasks. Typically, data science roles are performed during regular business hours, but some positions may require weekend work for data collection, analysis, or reporting.

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 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 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.

What are the most commonly searched types of Data Science jobs in Edison, NJ?

The most popular types of Data Science jobs in Edison, NJ are:

What are popular job titles related to Weekend Data Science jobs in Edison, NJ?

For Weekend Data Science jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Edison, NJ look for?

The top searched job categories for Weekend Data Science jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Weekend Data Science jobs?

Cities near Edison, NJ with the most Weekend Data Science job openings:

Infographic showing various Weekend Data Science job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,065 per year, or $61.1 per hour.

Vice President, Data Science

S&P Global, Inc.

New York, NY • On-site

$177K - $350K/yr

Full-time

Medical, Retirement

Re-posted 11 days ago


S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

About the Role:
Grade Level (for internal use):
15
The Team:
Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world.
We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate.
Responsibilities and Impact:
  • Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.
  • Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready.
  • Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production.
  • Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes.
  • Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority.
  • Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production.

Compensation/Benefits Information:
S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
What we are looking for:
  • 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments.
  • Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle.
  • Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams.
  • Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes.

Additional Preferred Qualifications:
  • Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value.
  • Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences.
  • Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority.
  • Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example.

Right to Work Requirements:
This role is limited to persons with indefinite right to work in the United States.
Return to Work:
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
About S&P Global Market Intelligence
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
For more information, visit www.spglobal.com/marketintelligence.
What's In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal
10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

What S&P Global employees say

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