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Weekend Data Science Jobs in Irvine, CA (NOW HIRING)

Senior Data Scientist

Cerritos, CA · On-site

$120K - $150K/yr

Use a diverse skill sets across math and computer science, dedicated to solving complex and ... Mentor junior data scientists and analysts, providing guidance on best practices and methodologies

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

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Weekend Data Science information

See Irvine, CA salary details

$40.3K

$131.7K

$210.9K

How much do weekend data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for weekend data science in Irvine, CA is $131,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $146,000.00 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.

What are the most commonly searched types of Data Science jobs in Irvine, CA?

The most popular types of Data Science jobs in Irvine, CA are:

What are popular job titles related to Weekend Data Science jobs in Irvine, CA?

For Weekend Data Science jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Irvine, CA look for?

The top searched job categories for Weekend Data Science jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Weekend Data Science jobs?

Cities near Irvine, CA with the most Weekend Data Science job openings:

Infographic showing various Weekend Data Science job openings in Irvine, CA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% In-person, 2% Hybrid, and 11% Remote job distribution, with an average salary of $131,746 per year, or $63.3 per hour.

Senior Data Scientist

REVOLVE

Cerritos, CA • On-site

$120K - $150K/yr

Full-time

Re-posted 6 hours ago


Job description

Meet REVOLVE:

REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit www.revolve.com.

At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It’s our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment.

Some of the sweetest perks we offer aren’t in a typical benefit package like hefty discount on items we carry – as in 50% or more off retail prices, free weekly lunches, and pretty rad company parties.

To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve.

Are you ready to set the standard for Premium apparel?

Main purpose of the Senior Data Scientist role:

Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve.

Major Responsibilities:

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects
  • Mentor junior data scientists and analysts, providing guidance on best practices and methodologies
  • Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations.
  • Work closely with the DBA to improve BI’s infrastructure, architect the reporting system, and invest in time for technical proof of concept.
  • Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis
  • Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction.
  • Experiment with new tools, technologies, and methodologies to enhance AI and Data Science capabilities. Contribute to the development of the company's data science strategy and roadmap

Required Competencies:

To perform the job successfully, an individual should demonstrate the following competencies:

  • Outstanding analytical skills, with strong academic background in statistics, math, science or technology.
  • High comfort level with programming, ability to learn and adopt new technology with short turn-around time.
  • Knowledge of quantitative methods in statistics and machine learning
  • Intense intellectual curiosity – strong desire to always be learning
  • Proven business acumen and results oriented.
  • Ability to demonstrate logical thinking and problem solving skills
  • Strong attention to detail

Minimum Qualifications:

  • Master Degree is required
  • 3+ years of DS and ML experience in a strong analytical environment.
  • Proficient in Python, NumPy and other packages
  • Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations.
  • Experience with AB Testing and pseudo-A/B test setup and evaluations
  • Advanced SQL experience, query optimization, data extract
  • Ability to build, validate, and productionize models

Preferred Qualifications:

  • Strong business acumen
  • Experience in deploying end to end Machine Learning models
  • 5+ years of DS and ML experience preferred
  • Advanced SQL and Python, with query and coding optimization experience
  • Experience with E-commerce marketing and product analytics is a plus

A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it’s what keeps us on our toes and excited to come to work every day.

For individuals assigned and/or hired to work in California, Revolve includes a reasonable estimate of the salary or hourly rate range for this role. This takes into account the wide range of factors that are considered in making compensation decisions; including but not limited to business or organizational needs, skill sets, experience and training, licensure, and certifications.

A reasonable estimate of the current base hourly/salary range is $120,000 to $150,000/ year.

ATTENTION:

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