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Online Data Science Tutor Jobs in San Ramon, CA (NOW HIRING)

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... online experience for our customers. This role collaborates closely with our technology teams to ...

Tatari

Data Science Analyst

San Francisco, CA

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... online experience for our customers. This role collaborates closely with our technology teams to ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

With hubs in the US, UK, Ireland, Poland, and Germany, we're building the future of online ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

PROPRIUS

Data Scientist

Sunnyvale, CA · On-site

... and online testing with big data set. * Experience with reporting tools such as Tableau and D3.js. * PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in ...

MasterCard

Data Scientist

San Francisco, CA · On-site

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field ... In the US or Canada, if you require accommodations or assistance to complete the online application ...

Mastercard, Inc.

Data Scientist

San Francisco, CA · On-site

... both data science and data engineering. This role requires someone who can not only build ... In the US or Canada, if you require accommodations or assistance to complete the online application ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... Strive to constantly improve model performance using insights from rigorous offline and online ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... Strive to constantly improve model performance using insights from rigorous offline and online ...

shefsolutionsllc

Data Science And Ai

San Francisco, CA · On-site

$120 - $160/hr

We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in ... Build visual models to analyze and process image, video, and text data and combine them with ...

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Online Data Science Tutor information

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How much do online data science tutor jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for online data science tutor in San Ramon, CA is $21.01, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $19.33 per hour, depending on experience, location, and employer.

What is an online data science tutor?

An Online Data Science Tutor is a professional who provides personalized instruction and support in data science topics through virtual platforms. They help students or professionals learn programming languages like Python or R, understand statistical concepts, and develop skills in machine learning, data analysis, and visualization. Online data science tutors use video calls, interactive exercises, and digital resources to guide learners at their own pace. Their goal is to help students grasp complex concepts, complete assignments, and prepare for exams or job roles in the data science field.

How does an online data science tutor typically structure sessions to maximize student engagement and learning outcomes?

Online Data Science Tutors often break down complex concepts into manageable segments and use interactive tools such as live coding, quizzes, and real-world datasets to keep students engaged. Sessions are usually tailored to individual learning goals and may involve reviewing assignments, providing feedback, and guiding students through hands-on practice. Tutors frequently check in with students to assess understanding and adjust pacing as needed, fostering a supportive virtual environment. Collaboration with other tutors or course coordinators may also occur to ensure consistency and share best practices.

What are the key skills and qualifications needed to thrive as an online data science tutor, and why are they important?

To thrive as an Online Data Science Tutor, you need expertise in statistics, machine learning, and programming (often Python or R), along with a relevant degree or practical experience. Familiarity with online teaching platforms, data visualization tools (like Tableau or matplotlib), and course management systems is typically required. Strong communication, patience, and the ability to simplify complex topics are standout soft skills for this role. These abilities ensure effective knowledge transfer and student engagement in a virtual learning environment.

What are the most commonly searched types of Data Science Tutor jobs in San Ramon, CA?

The most popular types of Data Science Tutor jobs in San Ramon, CA are:

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Data Science Intern

Faire

San Francisco, CA • On-site

$75/hr

Internship

Re-posted 13 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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