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

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$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 ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site

$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 ...

New

Nextdoor

Data Scientist - Search

San Francisco, CA · On-site +1

... online and offline ML solutions. We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$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 ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site

$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 ...

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

As of Aug 21, 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.

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NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site

$140K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! 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:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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