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

This role focuses on applying data science and AI techniques to analyze text and other unstructured data, build models, and generate insights that support business decisions. The role contributes to ...

Data Scientist II

Irvine, CA ยท On-site +1

$130.27K - $170.60K/yr

Develop custom data science solutions from first principles, leveraging advanced techniques in probability and statistics, machine learning, and graph mining, especially in contexts where off-the ...

Data Scientist

Cerritos, CA ยท On-site

$90K - $120K/yr

Main purpose of the Data Science Analyst role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major ...

This role focuses on applying data science and AI techniques to analyze text and other unstructured data, build models, and generate insights that support business decisions. The role contributes to ...

This role focuses on applying data science and AI techniques to analyze text and other unstructured data, build models, and generate insights that support business decisions. The role contributes to ...

This role focuses on applying data science and AI techniques to analyze text and other unstructured data, build models, and generate insights that support business decisions. The role contributes to ...

This role focuses on applying data science and AI techniques to analyze text and other unstructured data, build models, and generate insights that support business decisions. The role contributes to ...

Data Scientist

Cerritos, CA ยท On-site

$90K - $120K/yr

Main purpose of the Data Science Analyst role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major ...

Senior Data Scientist

Cerritos, CA ยท 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

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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 May 28, 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 are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

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 are some typical challenges faced by data scientists working specifically on weekends, 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 a Weekend Data Science job?

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 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 Irvine, CA? The most popular types of 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 May 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $131,746 per year, or $63.3 per hour.
Quantitative Data Scientist - Based in Irvine, CA

Quantitative Data Scientist - Based in Irvine, CA

Trinity Property Management

Irvine, CA โ€ข On-site

$100K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Trinity Property Consultants Quantitative Data Scientist

At Trinity Property Consultants, your expertise fuels our mission. Guided by our values of innovation, teamwork, excellence, and empowerment, we've been a leader in the multifamily industry for over 25 years and proudly manage properties for a nationally ranked NMHC's Apartment Owner. We are building more than great places to live โ€“ we're creating vibrant communities and meaningful careers.

The Opportunity

The Quantitative Data Scientist will focus on building forecasting models, scoring systems, and analytical frameworks that generate forward-looking intelligence for the business. Working under the direction of the Chief Technology Officer, this role will develop and deploy production-grade predictive models that inform key decisions across asset management, financial planning, and property operations. The Quantitative Data Scientist is responsible for translating complex data into actionable insights for both technical teams and executive stakeholders.

Compensation: $100,000 โ€“ $130,000 annually based on your experience.

Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. PT.

Location Requirement: On-site at Trinity's corporate office in Irvine, California.

What You'll Own
  • Design, develop, and deploy forecasting, classification, and regression models into production environments.
  • Build and maintain time-series models to support revenue forecasting, occupancy projections, and market trend analysis.
  • Develop scoring systems and analytical frameworks that generate forward-looking business intelligence.
  • Apply gradient boosting and other machine learning techniques to structured tabular data problems.
  • Communicate model outputs, assumptions, and uncertainty ranges clearly to non-technical audiences including CFOs and asset managers.
  • Write and optimize complex SQL queries to extract, transform, and analyze large datasets.
  • Integrate third-party market data APIs and external data sources into analytical workflows.
  • Manage model lifecycle activities including versioning, monitoring, and retraining within Azure, Databricks, or Microsoft Fabric environments.
  • Collaborate with asset managers, finance, and operations teams to define analytical requirements and deliver insight-driven solutions.
  • Maintain documentation of models, data pipelines, and analytical methodologies.
  • Stay current with advancements in data science, machine learning, and real estate analytics to identify opportunities for innovation.
What You Bring
  • Strong quantitative mindset with the ability to design and deliver production-grade predictive models.
  • Proficiency in Python and SQL with hands-on experience in time-series modeling libraries such as Prophet, statsmodels, and ARIMA/SARIMA.
  • Deep familiarity with gradient boosting frameworks including XGBoost, LightGBM, or CatBoost for tabular data problems.
  • Ability to communicate model outputs, assumptions, and uncertainty ranges clearly to non-technical stakeholders including CFOs and asset managers.
  • Experience working in cloud-based analytics environments such as Azure, Databricks, or Microsoft Fabric.
  • A collaborative, solutions-oriented approach to working across asset management, finance, and operations teams.
  • Meticulous documentation habits and a commitment to model lifecycle best practices.
  • Curiosity and a drive to stay current with developments in data science, machine learning, and real estate analytics.
Qualifications
  • One to three years of experience in data science with demonstrated delivery of forecasting, classification, or regression models in production.
  • Strong Python and SQL skills with experience in time-series modeling libraries (Prophet, statsmodels, ARIMA/SARIMA).
  • Proficiency with gradient boosting frameworks such as XGBoost, LightGBM, or CatBoost for tabular data problems.
  • Demonstrated ability to communicate model outputs and uncertainty ranges clearly to non-technical stakeholders, including CFOs and asset managers.
  • Experience working in Azure, Databricks, or Microsoft Fabric environments.
  • Must communicate effectively and efficiently with all levels within an organization.
  • Occasional travel may be required.
Preferred Qualifications
  • Real estate or financial services domain experience โ€” multifamily, commercial, or investment management.
  • Familiarity with Yardi or Entrata data schemas or similar property management platforms.
  • Experience integrating third-party market data APIs (CoStar, Yardi Matrix, MSCI) into analytical workflows.
  • Exposure to MLflow, Azure ML, or similar model lifecycle management tooling.
  • Understanding of real estate finance fundamentals: NOI, cap rates, IRR, and DSCR.
Other Requirements

This is a full-time, on-site position at Trinity's corporate office in Irvine, California. Standard hours are Monday through Friday, 8:00 am to 5:00 pm PT. Evening and weekend hours may occasionally be required. Active participation in team functions and company activities is expected.

We've Got You Covered!
  • Medical, Dental & Vision: Highlights include company-paid individual PPO-HSA plan (with $1,200 annual employer contribution); HMO options for California residents. Dental and vision premiums are fully covered for employees; coverage for dependents is available at an additional cost.
  • Retirement Plans (401K): The company matches 1/3 of the employee's contribution up to 2% of the salary.
  • Life & Disability Insurance: Up to $100,000 of life insurance and AD&D coverage, plus short- and long-term disability insurance. In addition, supplemental life for the employee, spouse, and children.
  • Time Off: 11 paid holidays, 2โ€“4 weeks of vacation based on years of service, and sick leave provided in compliance with state and local requirements.
  • Referral Bonuses: $1,000 for eligible employee referrals.
  • Volunteer Time Off: Up to 16 hours annually (8 for personal volunteer activities, 8 for company-sponsored events).
  • Perks: Professional development, tuition reimbursement, employee discounts, and more.
Our Commitment to Belonging

Trinity Property Consultants is proud to be an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive, respectful workplace where all individuals can thrive irrespective of race, ethnicity, gender identity, sexual orientation, age, religion, disability, or other protected classes.

Ready to Join Us?

Explore what it's like to grow your career with a company that values people as much as performance. Learn more and apply today!

Note: This job description includes the core Quantitative Data Scientist responsibilities of Trinity Property Consultants. Duties are subject to change at the company's discretion.

Trinity Property Consultants is an equal opportunity employer and does not discriminate against persons because of age, race, color, creed, religion, disability, gender, ethnic or national origin, or veteran status. Trinity Property Consultants prohibits discrimination against individuals with disabilities and will reasonably accommodate applicants with a disability, upon request, and will also ensure reasonable accommodation for employees with a disability.