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Immediately Hiring Data Science Jobs in California

Faire

Data Science Intern

San Francisco, CA

$75/hr

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS! Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS! Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

The AI Product's Data Science org is at the center of the next generation of products at Figma ... We believe in hiring smart, curious people who are excited to learn and develop their skills. If ...

Sia Partners'

Data Science

San Francisco, CA · On-site

$90 - $120/hr

As part of the expansion of its activities, Sia is hiring a GenAI Consultant for its San Francisco ... You will play a key role in bridging the gap between Data Scientists, Machine Learning Engineers ...

Omnicom

Director, Data Science

Los Angeles, CA · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely ...

Omnicom

Director, Data Science

Los Angeles, CA · Hybrid

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

Tatari

Data Science Manager

San Francisco, CA

$160K - $220K/yr

Contribute to hiring and onboarding efforts for the team Qualifications: * Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Contribute to hiring and onboarding efforts for the team Qualifications: * Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Contribute to hiring and onboarding efforts for the team Qualifications: * Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Contribute to hiring and onboarding efforts for the team Qualifications: * Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science ...

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Immediately Hiring Data Science information

What does 'Immediately Hiring Data Science' mean?

'Immediately Hiring Data Science' refers to job postings where employers are urgently seeking candidates to fill data science positions as soon as possible. Data scientists analyze and interpret complex data to help organizations make informed decisions. These roles typically involve skills in statistics, programming, and machine learning. If a company is immediately hiring, it means the hiring process may move quickly, so candidates should be prepared to apply and interview promptly.

What are some common challenges new data scientists face when joining a team, and how can they overcome them?

New data scientists often face challenges such as understanding legacy code, adapting to existing data infrastructure, and aligning their work with business objectives. It's important to communicate regularly with team members and stakeholders to clarify project goals and expectations. Taking time to familiarize yourself with the company's data sources and tools, as well as actively seeking feedback, can help ease the transition and accelerate your impact on the team.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, data visualization tools, and machine learning platforms is typically required. Strong problem-solving abilities, communication skills, and curiosity help distinguish top performers in this field. These skills are vital for extracting actionable insights from complex data sets and driving data-driven decision-making within organizations.

What is the difference between Immediately Hiring Data Science vs Immediately Hiring Data Analyst?

AspectImmediately Hiring Data ScienceImmediately Hiring Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in tech, finance, or healthcare industries; project-based tasksBusiness environments, often in finance, marketing, or operations; focus on reporting and data interpretation
Employer & Industry UsageUsed by companies seeking advanced data modeling and predictive analyticsUsed by organizations needing data reporting, dashboards, and basic analysis

Immediately Hiring Data Science roles typically require advanced technical skills and focus on predictive modeling and machine learning, while Data Analyst positions emphasize data reporting and visualization. Both roles are in high demand but serve different functions within organizations.

What are popular job titles related to Immediately Hiring Data Science jobs in California?

For Immediately Hiring Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Immediately Hiring Data Science jobs in California look for?

The top searched job categories for Immediately Hiring Data Science jobs in California are:

What cities in California are hiring for Immediately Hiring Data Science jobs?

Cities in California with the most Immediately Hiring Data Science job openings:

Immediately Hiring Data Science jobs near you
Infographic showing various Immediately Hiring Data Science job openings in California as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, 3% Temporary, and 9% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Data Science Intern

San Francisco, CA

Faire
See more jobs at Faireexternal

$75/hr

Internship

Re-posted 11 days ago

Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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