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Weekend Data Science Jobs in California (NOW HIRING)

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets. * Perform R&D work by prototyping new ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets. * Perform R&D work by prototyping new ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets. * Perform R&D work by prototyping new ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets. * Perform R&D work by prototyping new ...

Walmart

(USA) Senior Manager, Data Science

San Bruno, CA

$132K - $264K/yr

Drive Data Science Innovation to protect the integrity of the Marketplace by applying advanced statistical methods, machine learning, and AI techniques to identify and mitigate fraud and performance ...

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Weekend Data Science information

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 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 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 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 California? The most popular types of Data Science jobs in California are:
What are popular job titles related to Weekend Data Science jobs in California? For Weekend Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in California look for? The top searched job categories for Weekend Data Science jobs in California are:
What cities in California are hiring for Weekend Data Science jobs? Cities in California with the most Weekend Data Science job openings:
Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in California as of May 2026, with employment types broken down into 2% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.
Data Science Leader

Data Science Leader

Tiger Analytics Inc.

California City, CA • On-site

Full-time

Posted yesterday

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Senior Manager / Associate Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

  • Own and drive end-to-end data science workstreams from problem definition to production and impact measurement.
  • Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms.
  • Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps.
  • Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling.
  • Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
  • Present insights and solutions to business leaders, demonstrating impact and value.
  • Manage analytics projects and coordinate with global client and Tiger teams.
  • Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
  • Partner with technical teams to select appropriate analytical methods and generate actionable insights.
  • Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements

  • 12 - 15 years of professional experience in Data Science, Applied ML, or Advanced Analytics, with leadership at scale..
  • Must have experience working on traditional ML Models. Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
  • Strong hands-on expertise in Python, SQL, and statistical modeling.
  • Familiarity with data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran).
  • Strong understanding of cloud-native data and ML platforms (AWS, GCP, Azure).
  • Excellent communication skills with the ability to influence Director+ stakeholders.
  • Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness.
  • Ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards.
  • Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches.
  • A solid understanding of statistical and machine-learning algorithms is a plus.
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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