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Remote Computer Science Teaching Assistant Jobs in California

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · On-site +1

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Bachelor's degree in Computer Science, Information Security, or related field, or equivalent ...

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · Remote

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Bachelor's degree in Computer Science, Information Security, or related field, or equivalent ...

Zoo

CAD Graphics Engine Software Engineer

Los Angeles, CA · On-site +1

$145K - $195K/yr

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... B.S. in Computer Science or a related field, or equivalent professional experience * Proficiency ...

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

San Diego, CA · On-site +1

$61K - $141K/yr

Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Remote Computer Science Teaching Assistant information

What are the key skills and qualifications needed to thrive as a remote computer science teaching assistant, and why are they important?

To thrive as a Remote Computer Science Teaching Assistant, you need a solid grasp of core computer science concepts, programming languages (such as Python or Java), and at least a bachelor’s degree or relevant coursework. Familiarity with learning management systems (LMS) like Canvas or Blackboard, video conferencing tools, and code-sharing platforms is typically required. Excellent communication, patience, and the ability to motivate and support students remotely are standout soft skills in this role. These skills and qualities are crucial for effectively facilitating learning, resolving technical challenges, and ensuring student engagement in a virtual environment.

What does a remote computer science teaching assistant do?

A Remote Computer Science Teaching Assistant supports instructors and students in online computer science courses. They help answer student questions, grade assignments, provide feedback, and sometimes lead virtual discussions or study sessions. Their main goal is to facilitate learning and ensure students understand course material, all while working from a remote location. They use digital platforms and communication tools to interact with both students and faculty.

How does a remote computer science teaching assistant typically collaborate with instructors and students in an online setting?

As a Remote Computer Science Teaching Assistant, collaboration with instructors usually happens through regular virtual meetings, shared digital platforms, and coordinated lesson planning tools. TAs often communicate with students via discussion boards, video calls, and messaging platforms to provide support, clarify concepts, and assist with assignments. Building rapport remotely can be a challenge, but using clear communication and prompt feedback helps foster a positive online learning environment. Additionally, TAs may help facilitate group projects, grade assignments, and manage online resources to ensure students have a seamless educational experience.
What are the most commonly searched types of Remote Computer Science Teaching jobs in California? The most popular types of Remote Computer Science Teaching jobs in California are:
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Remote Computer Science Teaching Assistant jobs near you

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 19 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 Soccer 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 Soccer, 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 $130,000
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 Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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