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Data Science Trainer Jobs in California (NOW HIRING)

Systems Planning and Analysis

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus * Data ...

Systems Planning and Analysis

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus * Data ...

CookUnity

Director, Data Science/ML

Los Angeles, CA

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

Five9

Vice President, Data Science

San Ramon, CA

The data science team is very much applied - their work directly makes its way into real products ... Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt ...

ServiceTitan

Director, Data Science

Glendale, CA · On-site +1

Own the data science and applied AI roadmap for operations-agentic systems, forecasting, lead ... We offer a comprehensive onboarding program, leadership training for Titans at all levels, and ...

SPA

Data Scientist with Security Clearance

San Diego, CA · On-site

$125K - $144K/yr

Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus * Data ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

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Data Science Trainer information

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How much do data science trainer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data science trainer in California is $30.83, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $35.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science Trainer position, and why are they important?

To thrive as a Data Science Trainer, you need a strong background in statistics, machine learning, data analysis, and experience with common programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools (e.g., Tableau, Power BI), cloud platforms, and certifications such as the Certified Data Scientist credential are often expected. Excellent communication, presentation, and mentoring skills are vital for explaining complex technical concepts to diverse learners. These abilities are crucial to effectively train others, foster engagement, and ensure learners can practically apply data science skills in real-world scenarios.

What does a typical day look like for a Data Science Trainer?

A typical day for a Data Science Trainer involves developing and delivering instructional materials, conducting interactive training sessions, and providing hands-on guidance to students or professionals at varying skill levels. You’ll often collaborate with curriculum developers, other trainers, and industry experts to keep course content up-to-date and relevant. Trainers also assess learner progress through assignments or projects, offer feedback, and may hold one-on-one mentoring sessions to address individual questions. In addition to technical instruction, you’ll help foster a collaborative learning environment that encourages problem-solving and practical application of data science concepts.

What is a Data Science Trainer job?

A Data Science Trainer is responsible for teaching and mentoring individuals or teams in data science concepts, tools, and techniques. They design and deliver training programs covering topics such as machine learning, data analysis, programming (Python, R), and statistical modeling. Trainers may work for educational institutions, corporate training programs, or independently as consultants. Their goal is to equip learners with practical skills to analyze data, build models, and derive insights for real-world applications. Effective trainers combine technical expertise with strong communication and instructional skills.

What are popular job titles related to Data Science Trainer jobs in California? For Data Science Trainer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Trainer jobs in California look for? The top searched job categories for Data Science Trainer jobs in California are:
Data Science Trainer jobs near you
Infographic showing various Data Science Trainer job openings in California as of June 2026, with employment types broken down into 2% As Needed, 66% Full Time, 25% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,133 per year, or $30.8 per hour.
Director, Data Science

Director, Data Science

Glyphic Biotechnologies

Berkeley, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

About Glyphic:
At Glyphic Biotechnologies, we plan to create the protein revolution for which scientists and researchers have been waiting. We are developing a massively parallel, single-molecule proteome sequencing platform that will transform life science discovery and usher in a new era of insights into human biology and disease. To date, we have raised >$80M from venture partners and non-dilutive grant funding to achieve our vision of next generation proteome sequencing.
What we are looking for in you
We are looking for a Director-level technical leader to build and lead Glyphic's Data Science function. This is a "player-coach" role. You must be technically deep enough to guide signal-processing and ML strategy for a novel nanopore-based protein sequencing platform, while also building the team culture, processes, and infrastructure needed to later scale from a larger data organization. You will report to the VP of R&D and work closely with team leads in assay development, chemistry, and automation.
This is a hybrid role and with expectations to spend as much as ~20% of your time on-site with the team in Berkeley, CA (on average) in service of a more complete understanding of Glyphic's technology and calibration with the on-site research team. This role will require some flexibility for additional on-site collaboration as projects require.
What you'll do
Technical Leadership
  • Set the technical direction for ML model development: amino acid classification from nanopore current signals, signal segmentation, stall detection, temporal modeling, and multi-cycle analysis.
  • Drive improvements to classification accuracy through better architectures (transformers, deep learning), training strategies, and feature engineering.
  • Own the roadmap for data infrastructure: pipeline automation, data lake architecture, metadata standards, and self-serve analytics for the broader scientific team.
  • Make strategic build-vs-buy decisions for tooling, compute, and third-party platforms.

People Management
  • Provide technical and professional management to a team of data scientists and engineers to enable end-to-end analysis pipeline
  • Create an environment where high-autonomy individual contributors thrive: clear goals, minimal process overhead, rapid feedback loops.
  • Foster a culture of rigorous, reproducible analysis and clear communication of results to non-computational audiences.

Cross-Functional Partnership
  • Translate wet-lab experimental goals into computational strategies and vice versa - surface data-driven insights that reshape assay design and instrument operation.
  • Work with assay development to design experiments that generate high-quality training data and enable systematic evaluation of new chemistries (expanders, linkers, barcodes).
  • Collaborate with the Head of Automation and hardware teams on instrument data integration and real-time analysis capabilities.
  • Represent Data Science in management discussions, communicating progress, risks, and resource needs clearly.

AI Strategy
  • Champion the adoption of AI coding and analysis tools (Claude, Claude Code, etc.) across the data team and the broader organization.
  • Evaluate how generative AI and LLMs can accelerate internal workflows: automated reporting, data exploration, code generation, and literature review.

What You Need
Required:
  • MS or PhD in a quantitative field (Computer Science, Electrical Engineering, Computational Biology, Bioinformatics, Statistics, or related)
  • 10+ years of post-academic experience in the omics space (genomics, proteomics, or related fields).
  • 4+ years of experience managing technical teams (data scientists, ML engineers, or bioinformaticians), including hiring responsibility.
    • Ability and willingness to operate as a player-coach: setting strategy while remaining hands-on with data, code, and models.
    • Exceptional ability to identify, hire, and develop talent while establishing and enforcing standards of excellence in data science
    • Capacity to develop both individual contributors and future managers within the team.
  • Deep expertise in one of the following:
    • Primary sequencing data analysis
    • Machine learning applied to biological data
    • Pipeline infrastructure and bioinformatics tooling
  • Solid understanding of signal processing, classification, and machine learning techniques (transformers, CNNs, RNNs) and comfort applying them to sequencing or time-series data
  • Practical familiarity with AWS, Nextflow, and modern bioinformatics tooling.
  • Demonstrated ability to work at the bench-to-computation interface in collaborative research environments
  • Ability to present complex technical results to non-technical stakeholders and to translate biological questions into computational approaches.

Nice to have:
  • Direct experience with sequencing data, basecalling, read-level QC or nanopore signal-level analysis (strongly preferred).
  • Experience building data infrastructure and analytics platforms in early-stage biotech.

We're looking for a teammate that:
  • Navigates complex team dynamics, partnerships, and challenges with creativity and logic.
  • Operates with adaptability, urgency, and flexibility in evolving environments, thriving in ambiguity.
  • Drives work forward without needing to be asked, taking responsibility for outcomes rather than tasks.
  • Treats obstacles as problems to be creatively solved, not reasons something can't be done.
  • Applies sound judgment to the best available information, testing, learning, and iterating.
  • Shares early and directly when assumptions change, results are unclear, or timelines are at risk.

What you can expect from this role
Work environment:
  • Collaborative culture where your ideas and expertise are valued
  • Direct impact on product development and company direction

Professional growth:
  • Build Glyphic's first dedicated data science management function, defining team structure, standards, and culture.
  • Help define the technical standards and best practices for omics data analysis while mentoring the next generation of data scientists who will adopt and advance these approaches.
  • Work with proprietary, information-rich data at scale that few organizations possess-the opportunity to develop novel approaches and methodologies that set benchmarks for the field.

Compensation
Estimated Base Salary: $215,000 - $257,000/year
This is the pay range for this position that we reasonably expect to pay. Individual compensation is based on various factors including, experience, education, skillset, and geographic location. This range is for the SF Bay Area, California location and may be adjusted to the labor market in other geographic areas. We are open to considering compensation above this range for candidates whose background and expertise exceed our expectations for the role.
Benefits and Perks:
  • Employee Stock Option Plan
  • 100% Health Plan Coverage for Employees & Dependents (Medical, Dental, & Vision)
  • Employer Retirement Contributions to 401(k)
  • Generous Paid Time Off
  • Paid Maternity and Paternity Leave
  • Health & Wellbeing Program
  • Office Snacks and Beverages
  • Regular Team Bonding Activities

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Glyphic Biotechnologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

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