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Weekend Data Science Jobs (NOW HIRING)

You will lead a team of data scientists building the intelligence layer across the full advertising marketplace: * (a) Supply-side algorithms -- search, relevance, ranking, real-time bidding, bid ...

Data Science Expert

$120 - $170/hr

We are seeking experienced Data Science Experts to help evaluate how effectively AI performs real-world data science tasks. Rather than building models or delivering business analyses yourself, you ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In ...

Position Responsibilities AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people developmentandoperational process ...

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

Reporting into the ED, AI and Innovation Data Science, this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

What you'll do...As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

Data Science sits at the heart of how we delight customers, optimize operations, and grow our advertising business -- and we're looking for a leader to push all three forward. As Director of Data ...

You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and ...

We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ground-breaking, predictive techniques for forecasting customer retention metrics, units, and ARR.

Showing results 41-60

Weekend Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do weekend data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
More about Weekend Data Science jobs

What cities are hiring for Weekend Data Science jobs?

Cities with the most Weekend Data Science job openings:

What are the most commonly searched types of Data Science jobs?

The most popular types of Data Science jobs are:

What states have the most Weekend Data Science jobs?

States with the most job openings for Weekend Data Science jobs include:

Infographic showing various Weekend Data Science job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Director, Data Science

Chewy

Bellevue, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

At Chewy, we believe great work starts with great people.

Our mission is to be the most trusted and convenient destination for pet parents and partners everywhere. Advertising is a core growth engine for Chewy—and science is how we make it smarter for shoppers, brands, and the business.

Your Opportunity

We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy—fully accountable for the science strategy and production implementation behind Chewy’s onsite and offsite Chewy Ads.

You will lead a team of data scientists building the intelligence layer across the full advertising marketplace:

  • (a) Supply-side algorithms — search, relevance, ranking, real-time bidding, bid-boosting, premium positioning, and dynamic auctions.
  • (b) Demand-side algorithms — budgeting, pacing, budget allocation/reallocation, keyword recommendations, bid recommendations, campaign setup and auto-optimization, and advertiser ROAS optimization.
  • (c) Portfolio management — orchestrating Chewy’s onsite and offsite Ads portfolio for optimal, balanced performance across shopper experience, advertiser outcomes, and Chewy revenue.

This is a rare seat: you will define how modern AI—LLMs, generative AI, foundation models, and multimodal systems—shows up in a real advertising marketplace, not as demos, but as durable production systems that move customer and advertiser outcomes at scale. As a core member of Ads leadership, you’ll partner closely with Product, Engineering, and business partners, and represent Ads science to Chewy senior leadership.

What You’ll Own

  • Full ownership of Chewy Ads Data Science across onsite and offsite channels—strategy, roadmap, model portfolio, delivery, and scientific quality bar.
  • Lead, grow, and mentor a high-performing team of data scientists; set standards for modeling, experimentation, MLOps, and research-to-production excellence.
  • Advance state-of-the-art applied science across the three pillars above: embeddings and representation learning, CTR/CVR prediction, multi-objective ranking, auction and bidding dynamics, budget optimization, ROAS optimization, causal measurement, and marketplace balance.
  • Define and execute Chewy Ads’ AI / GenAI strategy, including LLM-powered workstreams such as:
    • Generative creative and offer assistance
    • Intelligent keyword and query recommendation
    • Bid recommendation and automated bidding guidance
    • Auto-campaign setup and optimization copilots for advertisers
    • Retrieval-augmented systems for relevance, discovery, and ranking quality
  • Partner with Product and Engineering to ship production systems that improve shopper relevance, advertiser ROI/ROAS, and Ads business performance.
  • Establish rigorous experimentation and decision frameworks so science investments map clearly to customer and revenue impact.
  • Represent Ads science to senior leadership—translating complex work into clear strategy, tradeoffs, and recommendations.
  • Raise Chewy’s external scientific presence through publications, talks, and recruiting at leading ML/AI/advertising venues (encouraged, not required).

What You’ll Need

  • Advanced degree (M.S., PhD, or equivalent experience) in a quantitative field (e.g., CS, ML, Statistics, OR, Applied Math, Data Science), or 10+ years building and leading large-scale ML/optimization systems.
  • Proven experience leading data scientists / applied scientists and owning end-to-end science delivery in production—ideally in ads, search, recommendations, personalization, or marketplace systems.
  • Deep hands-on fluency with modern ML for ranking and prediction at scale: deep learning, embeddings, retrieval, multi-objective optimization, and online experimentation.
  • Experience with advertising optimization systems spanning supply and demand—auctions, real-time bidding, pacing, budget allocation, keyword/bid recommendations, auto-campaign optimization, and ROAS optimization under real-time, constrained-spend settings.
  • Demonstrated experience productizing LLMs / generative AI in real systems (e.g., RAG, agentic workflows, evaluation harnesses, quality/safety controls)—ideally in ads, search, or ecommerce.
  • Strong foundation in mathematics, statistics, and scientific method; a high bar for model quality, causal measurement, and production reliability.
  • Experience operating distributed training/serving pipelines and partnering with Engineering on scalable deployment.
  • Exceptional communication: able to influence senior executives and cross-functional partners with clarity and technical credibility.

Nice to Have

  • Direct experience in digital advertising / retail media / sponsored products.
  • Ecommerce or retail marketplace experience.
  • Experience with cloud ML platforms (e.g., AWS SageMaker or equivalent) and modern GenAI tooling.
  • Track record of hiring and developing senior scientific talent.

What You’ll Get

Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law and you need an accommodation during the application process or to perform these job requirements, please contact CAAR@chewy.com.

Chewy offers a comprehensive benefits package including medical, dental, vision, life and disability insurance, 401(k) with company matching, paid time off, employee discounts, and additional wellness and support programs designed to help Team Members thrive personally and professionally.

The base salary range for this role is $198,500 - $300,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011