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Remote Data Science Tutor Jobs in California (NOW HIRING)

Veracyte

Data Scientist II

San Diego, CA · On-site +1

$101K - $140K/yr

This is a remote friendly position. On-site cube available in South San Francisco or San Diego.  We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

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Remote Data Science Tutor information

What are the key skills and qualifications needed to thrive as a Remote Data Science Tutor, and why are they important?

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What are Remote Data Science Tutors?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

What are the most commonly searched types of Data Science Tutor jobs in California? The most popular types of Data Science Tutor jobs in California are:
What are popular job titles related to Remote Data Science Tutor jobs in California? For Remote Data Science Tutor jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Tutor jobs in California look for? The top searched job categories for Remote Data Science Tutor jobs in California are:
What cities in California are hiring for Remote Data Science Tutor jobs? Cities in California with the most Remote Data Science Tutor job openings:
Remote Data Science Tutor jobs near you
Data Scientist II, Experimentation

Data Scientist II, Experimentation

Pinterest

San Francisco, CA • On-site, Remote

Other

Re-posted 23 days ago

Job description

We are seeking a data scientist with a strong background in experimentation and statistical analysis to help us improve and iterate on our experimentation platform. The successful candidate will play a key role in improving our experiment processes at scale, leveraging their expertise to drive innovation and help make sure that Pinterest users are receiving the most thoroughly data-driven features. With thousands of experiments running concurrently, the magnitude of our operations presents a significant opportunity for impact. If you possess a strategic mindset, proven experience in experimental design and analysis, and a passion for driving results, we invite you to join us in shaping the future of experimentation.

What you'll do:;

  • Comb through the literature in experimentation to identify potential methodologies that can improve parts of our platform where we have the biggest opportunities.
  • Make the process of setting up, running and evaluating experiments smoother and more repeatable for our platform users, ensuring that decisions are risk-aware and consistent
  • Write workflows to make our vast experimentation meta-data able to be leveraged by our team and outside of our team to better understand the experimentation landscape.
  • Consult with product data science teams to debug, design or improve their experiments and experimentation process.

What we're looking for:

  • PhD in a relevant field (stats, applied math, biostatistics, etc...) OR 2+ years of hands-on experience working as a data scientist or applied scientist.
  • Experience working directly on experimentation problems and an awareness of state of the art methodologies.
  • The ability to write clean, efficient, and scalable code that can be easily maintained and extended by other team members.
  • Proficiency in software development best practices, including version control systems such as Git, to ensure efficient collaboration, code management, and reproducibility in a data science environment.
  • Familiarity with workflow management tools such as Apache Airflow to create and schedule data pipelines, allowing for automated and reliable execution of machine learning workflows.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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