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Remote Data Science Tutor Jobs in Dublin, CA (NOW HIRING)

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Knowledge of data science and machine learning concepts * Professional working experience with MLB ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Knowledge of data science and machine learning concepts * A strong interest in sports and sports ...

Pinterest

Data Scientist

San Francisco, CA · On-site +1

$101K - $209K/yr

Bachelor's degree in Computer Science, a related field or equivalent experience This position is ... LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

... remote collaboration * Familiarity with the transportation, energy or broader infrastructure sectors is a plus but not required Qualifications * Currently pursuing a Bachelor's degree in Data Science ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You will work closely with data engineers, data scientists, ML/AI engineers, BI developers, and ... Employee divides their time between in-office and remote work. Access to an office location is ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

Support data science workflows by building infrastructure that enables model training, feature ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Knowledge of data science and machine learning concepts * Professional working experience with MLB ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Knowledge of data science and machine learning concepts * A strong interest in sports and sports ...

Verse

Software Engineer, Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

United States (remote) What is Verse? The race to AI has become the race to power. Every ... Partnering closely with our Data Science and data-heavy internal teams to support various ...

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All JobsData Science Tutor JobsRemote Data Science Tutor JobsRemote Data Science Tutor Jobs in Dublin, CA

Remote Data Science Tutor information

See Dublin, CA salary details

$10

$51

$105

How much do remote data science tutor jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data science tutor in Dublin, CA is $51.41, according to ZipRecruiter salary data. Most workers in this role earn between $26.25 and $62.55 per hour, depending on experience, location, and employer.

What is a remote data science tutor?

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 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 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 job categories do people searching Remote Data Science Tutor jobs in Dublin, CA look for?

The top searched job categories for Remote Data Science Tutor jobs in Dublin, CA are:

What cities near Dublin, CA are hiring for Remote Data Science Tutor jobs?

Cities near Dublin, CA with the most Remote Data Science Tutor job openings:

Remote Data Science Tutor jobs near you
Infographic showing various Remote Data Science Tutor job openings in Dublin, CA as of August 2026, with employment types broken down into 77% Part Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,939 per year, or $51.4 per hour.

Chemical Data Scientist

Valdera

San Francisco, CA • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

About Valdera:
At Valdera, we empower innovators to turn ideas into reality by transforming how manufacturers source materials. We make it effortless for companies to find the best materials and suppliers for their needs, enabling them to build high-quality products at scale and deliver them to millions of consumers worldwide.
We are a team of ambitious, results-driven individuals with a proven track record of working with Fortune 500 industrial manufacturers, beauty brands, and chemical companies. We are a fast-growing company that hires talented, hardworking people who excel in high-performance environments and want to grow their careers quickly.
Our culture is built for exceptional individuals to take on meaningful challenges, collaborate with the top minds in our industry, and see the direct impact of their work. If you're looking for a fast-paced environment where your ideas will drive real change, Valdera is the place for you.
Join us, and let's shape the future of manufacturing together.
Role Description:
We are hiring a Chemical Data Scientist to build and maintain the pipelines that keep Valdera's supplier and chemical product data accurate, current, and structured - the foundation every buyer and supplier relies on across Valdera's procurement platform.
Data quality plays a critical role at Valdera. When a buyer launches a request, they expect to be matched with the right suppliers and accurate specs on the first try. Delivering that depends on clean, current data - CAS numbers, specifications, certifications, and regulatory documents pulled from thousands of inconsistent, often messy sources. This requires strong data engineering fundamentals and a working knowledge of chemical industry data. For example, you might take dozens of differently structured chemical supplier catalogs and turn them into one clean, standardized product database.
You will take ownership of the full data pipeline - from scrapers and ETL workflows to data cleaning, matching, and classification models that connect suppliers to buyer requirements. You're energized by messy, real-world data and confident partnering with Supplier Management and Engineering to close coverage gaps. As a data-obsessed professional, you're dedicated to the accuracy our buyers and suppliers depend on.
Role Responsibilities:
  • Design and build pipelines to collect supplier data and chemical product information (specifications, CAS numbers, certifications, SDS/regulatory documents, NAICS classification of manufacturing plants) from supplier sites, distributor catalogs, trade databases, and other public and semi-structured sources
  • Develop and maintain web scrapers and automated ETL workflows to keep supplier and product data current at scale
  • Clean, normalize, and reconcile inconsistent supplier data into structured, standardized formats suitable for internal tools and analytics
  • Apply chemical domain knowledge to validate and enrich data - resolving product names, CAS numbers, synonyms, and specifications across suppliers
  • Evaluate and improve matching and classification models to map suppliers and products to buyer requirements, and to identify overlapping or equivalent chemical offerings
  • Partner with Supplier Management and Engineering to define data quality standards, identify gaps in supplier coverage, and prioritize new data sources.
  • Own pipeline health and data quality, and drive the KPIs that measure overall data coverage

Experience & Qualifications:
  • 5+ years of experience in a data science, data engineering, or applied data role, ideally with exposure to messy, real-world or industrial datasets.
  • Working knowledge of chemistry or chemical industry data - comfort with CAS numbers, chemical properties, SDS documents, NAICS classification, and supplier certifications
  • Strong Python skills, with experience building web scrapers and data pipelines
  • Experience with data cleaning and normalization at scale, and a good eye for spotting inconsistencies in unstructured data
  • Familiarity with building or applying matching, deduplication, or classification models (traditional ML or LLM-based approaches)
  • Hands-on experience using AI tools and LLMs to accelerate data extraction, enrichment, or engineering workflows
  • Startup mindset with a strong sense of ownership - comfortable working independently in a fast-moving, remote environment with ambiguous, evolving priorities

Salary Range:
Salary ranges are determined by multiple factors, including the labor market, market compensation bands, internal parity, and budget considerations. The final offer will be based on the candidate's individual skills, qualifications, location, and experience relative to the requirements of the role.
Benefits:
Valdera offers generous benefits to employees. You will be provided a more detailed breakdown of your options prior to joining Valdera.
Equal Opportunity Employer Statement:
Valdera is an equal-opportunity employer committed to building a diverse and inclusive team. We welcome applicants of all backgrounds and celebrate a culture that values varied perspectives, skills, and experiences. We are dedicated to maintaining a workplace free from discrimination, where everyone feels valued, respected, and empowered to contribute.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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