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Temporary Data Scientist Machine Learning Jobs in California

Quince

Senior Data Scientist, Growth

Palo Alto, CA

THE ROLE Data Scientist, Growth We are seeking a Data Scientist, Growth to join our growing team ... Build end-to-end production machine learning models from 0 to 1 with immediate, high-visibility ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K/yr

... data-driven insights * Run controlled experiments to test research hypotheses, analyze outcomes ... degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied ...

PROPRIUS

Machine Learning / Data Scientist

Bodega Bay, CA · On-site

$110K - $140K/yr

Job Summary Our client is looking for a machine learning engineer to join our existing ML team in developing and refining a predictive application. The ideal candidate is adept at using large data ...

Find Data Science

Data Scientist

San Francisco, CA · On-site

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Your expertise in data analysis, machine learning, and statistical modeling will enable you to ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

... and data-driven insights • Run controlled experiments to test research hypotheses, analyze ... degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied ...

BigHat

Machine Learning Scientist

San Mateo, CA · On-site

$150K - $200K/yr

DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Description The role: We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance ...

BigHat Biosciences

Machine Learning Scientist

San Mateo, CA · On-site

$150K - $200K/yr

DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Description The role: We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance ...

Nash, Inc.

Senior Data Scientist

San Francisco, CA · On-site +1

What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ... related quantitative role. * Experience in logistics, marketplaces, supply chain, operations ...

Nash

Senior Data Scientist

San Francisco, CA · On-site

What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ... related quantitative role. * Experience in logistics, marketplaces, supply chain, operations ...

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Temporary Data Scientist Machine Learning information

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in California?

The most popular types of Data Scientist Machine Learning jobs in California are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in California?

For Temporary Data Scientist Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in California look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in California are:

What cities in California are hiring for Temporary Data Scientist Machine Learning jobs?

Cities in California with the most Temporary Data Scientist Machine Learning job openings:

Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Scientist, Growth

Palo Alto, CA

Quince
See more jobs at Quinceexternal

Full-time

Re-posted 23 days ago

Job description

THE ROLE

Data Scientist, Growth

We are seeking a Data Scientist, Growth to join our growing team. In this high-exposure role, you will own the machine-driven decision engines and automated bidding infrastructure guiding a massive global performance marketing spend across 40+ business units. You will have the 0-to-1 autonomy to build end-to-end production models and write the core software fueling our growth engine. Blending rigorous applied research with immediate technical execution, this position offers a direct line to executive leadership and a clear, measurable view of your impact on our top and bottom lines.

Responsibilities
  • Work on the core automated bidding infrastructure and allocation algorithms to model where the next advertising dollar yields maximum return.
  • Build end-to-end production machine learning models from 0 to 1 with immediate, high-visibility impact on the company's top line.
  • Design, build, and productionalize autonomous models and production-level data pipelines that automate operational business logic and spend efficiency.
  • Manage ad platform integrations, handle bidding automation, and optimize complex marketing tech workflows.
  • Work on automated processes for design and creative production
  • Function as a deep, independent individual contributor digging deep into complex systems and tackling loosely defined optimization and statistical problems.
  • Collaborate cross-functionally with marketing, product, and data science teams while maintaining high-visibility access to executive leadership.
Qualifications

Required

  • 2+ years of technical experience, including at least 1 year of corporate/industry experience.
  • Technical proficiency in Python and SQL.
  • Proven background as a Data Scientist, Machine Learning Engineer, or ML Researcher with hands-on experience independently pushing machine learning models into a live production environment.
  • Deep analytical and problem-solving strengths with a demonstrated history of working independently on loosely defined optimization and statistical problems.
  • Excellent collaboration and communication skills to work effectively with cross-functional partners and leadership teams.
  • Ability to dig deep into complex systems within a fast-paced, high-leverage entrepreneurial environment without a massive supporting infrastructure.

Preferred

  • Direct domain experience in ad tech infrastructure, automated campaign management, digital advertising, performance marketing tech, programmatic bidding optimization or automated investment platforms.
  • Experience working within a direct-to-consumer, retail, or e-commerce environment, particularly owning data pipelines for real-time bid pricing or user attribution platforms.
  • Practical engineering exposure to large language models (such as Claude) and working with vector spaces.

Apply