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Remote Analytics Engineer Jobs in California (NOW HIRING)

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Concordance Healthcare Solutions

$90K - $120K/yr

... remote. The Programmer Analyst participates in the analysis, design, development, testing ... Support reporting, analytics, and data extraction needs using SQL, Cognos, Sequel or equivalent ...

Crunch

Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

We offer a survey data analysis platform that allows market researchers, analysts, and marketers to ... We are inviting you to join our small, fully remote team of developers and operators helping make ...

YO AI Labs

CUDA Developer - Remote

San Jose, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

YO AI Labs

CUDA Developer - Remote

San Francisco, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

YO AI Labs

CUDA Developer - Remote

Los Angeles, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

YO AI Labs

CUDA Developer - Remote

Palo Alto, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... analytics. WhatYou'llDo * Design and deploy modern data platforms in Azure Databricks, including ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

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All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in California

Remote Analytics Engineer information

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What are the most commonly searched types of Analytics Engineer jobs in California?

The most popular types of Analytics Engineer jobs in California are:

What are popular job titles related to Remote Analytics Engineer jobs in California?

For Remote Analytics Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Analytics Engineer jobs in California look for?

The top searched job categories for Remote Analytics Engineer jobs in California are:

What cities in California are hiring for Remote Analytics Engineer jobs?

Cities in California with the most Remote Analytics Engineer job openings:

Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in California as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution.

Tennis Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$135K - $190K/yr

Full-time

Re-posted 18 days ago

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 a Tennis 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 Tennis 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: $135,000 - $190,000
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 Tennis Team Locations San Francisco, CA - Remote Remote status Fully Remote

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