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Remote Family Consumer Science Jobs in California

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

... and consumer/enterprise clients. The Swish Analytics team is seeking Data Engineers to have a ... This is a remote position. Duties * Support production systems and help triage issues during live ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... consumer products. Responsibilities: * Design, execute, and present cutting-edge research to ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Netflix

Product Manager, Plans Innovation

Los Gatos, CA · On-site +1

This role can also be remote-based from the West Coast (PST timezone). Some travel to Los Gatos ... Lead a team of stunning colleagues across design, engineering, consumer insights, and data science ...

Netflix

Product Manager, Plans Innovation

Los Gatos, CA · On-site +1

This role can also be remote-based from the West Coast (PST timezone). Some travel to Los Gatos ... Lead a team of stunning colleagues across design, engineering, consumer insights, and data science ...

Netflix

Product Manager, Personalization

Los Gatos, CA · On-site +1

... scientists and engineers, consumer insights researchers, and human data sourcing partners. As a ... remote candidates who are on the West Coast. Some travel to Los Gatos and Los Angeles will be ...

Netflix

Product Manager, Personalization

Los Gatos, CA · On-site +1

... scientists and engineers, consumer insights researchers, and human data sourcing partners. As a ... remote candidates who are on the West Coast. Some travel to Los Gatos and Los Angeles will be ...

Janux Therapeutics

Director, Clinical Science

San Diego, CA · On-site +1

$236K - $255K/yr

Janux also provides a comprehensive benefits package for our employees and their families, which ... Remote permitted upon approval, with ability to travel up to 25% for meetings or site visits as ...

Janux Therapeutics

Director, Clinical Science

San Diego, CA · On-site +1

$236K - $255K/yr

Janux also provides a comprehensive benefits package for our employees and their families, which ... Remote permitted upon approval, with ability to travel up to 25% for meetings or site visits as ...

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Remote Family Consumer Science information

What are some common challenges faced by remote Family Consumer Science educators and how can they overcome them?

Remote Family Consumer Science educators often face challenges such as engaging students in hands-on activities, managing classroom participation virtually, and ensuring access to necessary materials for all students. To overcome these, educators can use creative solutions like virtual simulations, project-based assignments using common household items, and frequent check-ins to foster participation. Collaboration with parents and caregivers is also crucial to ensure students can successfully complete assignments at home, and leveraging online resources can help supplement instruction.

What is a remote Family Consumer Science professional?

A Remote Family Consumer Science professional is an educator or specialist who teaches and supports individuals and families in areas such as nutrition, financial management, child development, and personal well-being through online platforms. They may work for schools, universities, extension programs, or private organizations, delivering lessons, workshops, and resources virtually. Their goal is to help people make informed decisions that improve quality of life and strengthen family and community systems. This role often involves curriculum development, virtual counseling, and online community engagement.

What are the key skills and qualifications needed to thrive as a remote Family Consumer Science educator, and why are they important?

To thrive as a Remote Family and Consumer Science Educator, you need a solid background in family and consumer sciences, education, and typically a relevant teaching certification. Familiarity with virtual classroom platforms, learning management systems (LMS), and digital curriculum tools is essential. Strong communication, organization, and adaptability are crucial for engaging students and managing remote learning environments. These skills and qualifications ensure effective instruction, foster student success, and facilitate meaningful learning experiences in a virtual setting.

What are the most commonly searched types of Family Consumer Science jobs in California?

The most popular types of Family Consumer Science jobs in California are:

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For Remote Family Consumer Science jobs in California, the most frequently searched job titles are:

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The top searched job categories for Remote Family Consumer Science jobs in California are:

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Remote Family Consumer Science jobs near you

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 23 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

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