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Remote Data Science Tutor Jobs in California (NOW HIRING)

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

IDT

Data Scientist

San Jose, CA · Remote

We are looking for a highly technical Data Scientist to join our established Analytics department ... Science, Statistics, Mathematics, or related). What we offer: * Remote work opportunity! * B2B ...

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Remote Data Science Tutor information

What are the key skills and qualifications needed to thrive as a Remote Data Science Tutor, and why are they important?

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What are Remote Data Science Tutors?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

What are the most commonly searched types of Data Science Tutor jobs in California? The most popular types of Data Science Tutor jobs in California are:
What are popular job titles related to Remote Data Science Tutor jobs in California? For Remote Data Science Tutor jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Tutor jobs in California look for? The top searched job categories for Remote Data Science Tutor jobs in California are:
What cities in California are hiring for Remote Data Science Tutor jobs? Cities in California with the most Remote Data Science Tutor job openings:
Remote Data Science Tutor jobs near you

Data Scientist

OpenArt AI

San Francisco, CA • On-site, Remote

Full-time

Posted 11 days ago

Job description

🧑🏼 💻 Data Scientist

🎨 About OpenArt

OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We’re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we’re shaping that future.

🚀 Why Join OpenArt

  • First Data Scientist hire in the US — set the bar, shape the function, and build the foundation of OpenArt\'s data science practice.

  • Direct impact on product strategy — your work shapes what we build, how we prioritize, and how we measure success.

  • Work across product, engineering, data, marketing, and finance — one of the most cross-functional roles in the company.

  • Build from 0 → 1 — define how we use data to drive product decisions atOpenArt.

  • High ownership, low process, fast iteration environment.

  • 7–10X revenue growth over the past 2 years — now scaling our data and analytics infrastructure to match.

🎯 About the Role

We\'re looking for a Data Scientist to be our first DS hire in the US (we have a Data Analyst based in Shenzhen) and help build OpenArt\'s data science function from the ground up.

This role sits at the intersection of product, analytics, and experimentation —focused on turning data into product decisions that move the needle for millions of creators.

You\'ll work closely with cross-functional teams including Product, Engineering, Data Engineering, Marketing, and Finance. By applying your technical skills, analytical mindset, and product intuition, you will help our customers improve their creative experience and help OpenArt identify and solve product development\'s biggest challenges.

🛠 What You’ll Do

  • Product leadership: use data to shape product development, quantify new opportunities, set goals, identify upcoming challenges, and ensure the products we build bring value to our customers.

  • Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches — different methodologies, frameworks, and technical techniques — to test them.

  • Experimentation: design, run, and analyze A/B tests and other causal experiments; help establish the experimentation culture and standards across the company.

  • Metrics and measurement: define and own key product metrics, build dashboards, and ensure leaders and teams have accurate, trusted data to make decisions.

  • User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to surface insights that drive retention, engagement, and monetization.

  • Communication and influence: convince and influence your partners by telling clear data stories — translate complex analyses into crisp recommendations for PMs, engineers, and execs.

  • Cross-functional partnership: collaborate with Data Engineering on instrumentation and pipelines, with Product/Eng on feature design and measurement, and with Marketing/Finance on growth and revenue analytics.

  • Build the function: establish DS best practices, mentor over time, and help shape the team as it grows.

🧑 💻 What We’re Looking For

Core Requirements

  • Bachelor\'s or above in a quantitative discipline: Statistics, AppliedMathematics, Economics, Computer Science, Engineering, or related field

  • Minimum 3 years of work experience in analytics or data science

  • Expert SQL and strong Python skills

  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques such as regression and decision trees

  • Strong product intuition — able to connect numbers to user behavior and product decisions

  • Strong verbal and written communication skills; able to tell clear data stories to both technical and non-technical audiences

  • A humble, collaborative, can-do attitude and natural curiosity

  • High ownership, fast execution, and strong attention to detail

Nice to Have

  • Experience as the first or early DS hire at a startup

  • Experience working with consumer products, marketplaces, or creator/UGC platforms

  • Familiarity with experimentation platforms and causal inference methods

  • Experience with BigQuery, Amplitude, Metabase, or similar tools in data stack

  • Experience partnering with marketing/growth teams (LTV, retention, funnel analysis)

  • Exposure to AI/ML products or generative AI

  • Comfort working across time zones with a globally distributed team

⚙ Tech Stack You’ll Work With

BigQuery, SQL, Python, Amplitude, Metabase, Stripe, GCP

💰 Compensation

  • Competitive base salary and bonus program

  • Equity — meaningful ownership in what you build

  • High autonomy, high growth environment

🌍 Work Setup

  • Bay Area preferred (hybrid allowed)

  • Visa sponsorship available

  • We’ll consider remote

Apply