2

Remote Predictive Analytics Jobs in California (NOW HIRING)

This is a remote position. Duties * Support production systems and help triage issues during live ... Develop production-level predictive analytics into enterprise-grade APIs * Contribute to the design ...

This is a remote position. Duties * Support production systems and help triage issues during live ... Develop production-level predictive analytics into enterprise-grade APIs * Contribute to the design ...

... predictive models that improve location selection, forecast accuracy, and understanding of drivers ... from a remote office location Benefits This role is eligible for healthcare including medical ...

... predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Develops queries and prepares data for diagnostic and predictive analytics. * Develops basic ad-hoc reports supporting projects and analysis. * Supports team members and/or management in developing ...

... predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

next page

Showing results 1-20

Remote Predictive Analytics information

What are the key skills and qualifications needed to thrive as a Remote Predictive Analytics professional, and why are they important?

To thrive in Remote Predictive Analytics, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree in data science, mathematics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based analytics platforms is essential, along with certifications such as SAS, AWS, or Google Cloud. Strong problem-solving, communication, and time management skills help professionals effectively interpret data insights and collaborate remotely with stakeholders. These competencies are critical for delivering accurate, actionable predictions and driving data-informed decisions in distributed work environments.

What are remote predictive analytics jobs?

Remote predictive analytics jobs involve analyzing large datasets to identify patterns, trends, and future outcomes, all while working from a location outside of a traditional office. Professionals in these roles use statistical methods, machine learning, and data modeling to forecast business results and provide actionable insights. They often collaborate with teams virtually and use specialized software to process and interpret data. These positions are common in industries like finance, healthcare, marketing, and e-commerce where understanding future trends is crucial.

How do remote predictive analytics professionals typically collaborate with cross-functional teams?

Remote predictive analytics professionals frequently collaborate with data engineers, business analysts, and stakeholders through virtual meetings and shared digital platforms. They often participate in agile workflows, leveraging collaboration tools like Slack, Jira, or Trello to coordinate tasks and share progress. Effective communication of complex findings to non-technical team members is a key challenge, so clear documentation and visualization tools are essential. Building strong relationships remotely requires proactive engagement and regular check-ins to ensure project alignment and timely delivery of analytics insights.
What are the most commonly searched types of Predictive Analytics jobs in California? The most popular types of Predictive Analytics jobs in California are:
What are popular job titles related to Remote Predictive Analytics jobs in California? For Remote Predictive Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Analytics jobs in California look for? The top searched job categories for Remote Predictive Analytics jobs in California are:
What cities in California are hiring for Remote Predictive Analytics jobs? Cities in California with the most Remote Predictive Analytics job openings:
Data Engineer

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 4 days ago


Job description

Company Overview
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
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE
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 Engineering Locations San Francisco, CA - Remote Remote status Fully Remote