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Data Science Training Jobs in California (NOW HIRING)

Caltech

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

Job Summary The data science engineer will work closely with the PI and his research group to ... training. As one of the largest employers in Pasadena, CA, Caltech is committed to providing ...

Microsoft AI

Senior Data Scientist

Mountain View, CA · On-site

The role involves creating evaluation frameworks, training classifiers, and collaborating with user ... Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics ...

career

Data Science Consultant

Mountain View, CA

... hands-on training, and a collaborative community. We're a small tech company with serious ... Who we're looking for: * 3+ years of experience as a data scientist with a strong analytical ...

career

Data Science Consultant

Mountain View, CA · On-site

... hands-on training, and a collaborative community. We're a small tech company with serious ... Who we're looking for: * 3+ years of experience as a data scientist with a strong analytical ...

career

Data Science Consultant

Mountain View, CA

... hands-on training, and a collaborative community. We're a small tech company with serious ... Who we're looking for: * 3+ years of experience as a data scientist with a strong analytical ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

... science function in cross-functional forums Job / Role Description * Lead end-to-end sales forecasting model development -- from data sourcing and feature engineering through model training ...

Boot Barn

Data Scientist

Irvine, CA

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive ... Develop high-quality, modular Python code for model training and experimentation using libraries ...

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All JobsData Science Training JobsData Science Training Jobs in California

Data Science Training information

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$24K

$101.8K

$190.9K

How much do data science training jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data science training in California is $101,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,525.00 and $120,445.00 per year, depending on experience, location, and employer.

What is a Data Science Training job?

A Data Science Training job involves teaching and guiding individuals or teams in data science concepts, tools, and techniques. Trainers design curricula, conduct workshops, and provide hands-on experience with programming languages like Python or R, machine learning, and data visualization. They may work for educational institutions, corporate training programs, or independently to upskill professionals. The goal is to equip learners with the skills needed to analyze data, build models, and make data-driven decisions.

What are the typical responsibilities of a professional in Data Science Training?

Individuals in Data Science Training roles are responsible for developing, organizing, and delivering curriculum on topics such as data analysis, machine learning, and data visualization. They often lead workshops, create interactive tutorials, and provide one-on-one guidance to learners from diverse backgrounds. Collaboration with data science teams and subject matter experts to ensure training content is current and industry-relevant is common. Additionally, professionals assess learner progress and adapt materials to continuously improve the educational experience. This role is ideal for those passionate about teaching and staying at the forefront of new data science advancements.

Is AI replacing data scientists?

Data scientists analyze data, develop models, and create insights using tools like machine learning and programming languages such as Python or R. While AI automates some tasks, data scientists are needed to interpret results, design models, and address complex problems that require domain expertise and critical thinking. AI complements their work but does not fully replace the role of a data scientist.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $110,000 annually, depending on location, industry, and company size. Skills in machine learning, programming, and data analysis tools like Python or R can influence salary levels.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

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

To excel in Data Science Training roles, you need a solid foundation in data analysis, statistical modeling, and expertise with programming languages like Python or R, often supported by a degree in data science or a related field. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning platforms, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are highly valued. Excellent communication, patience, and instructional skills help convey complex topics clearly and foster a collaborative learning environment. These combined skills are essential for effectively designing and delivering training that empowers learners to succeed in the rapidly evolving field of data science.

Can I get a data scientist job with no experience?

Entering a data scientist role typically requires relevant skills in programming, statistics, and data analysis, often gained through coursework, projects, or certifications. While some entry-level positions may be available to candidates with minimal experience, most employers prefer candidates with practical experience or a strong portfolio demonstrating their abilities.
What are the most commonly searched types of Data Science Training jobs in California? The most popular types of Data Science Training jobs in California are:
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Data Science Training jobs near you
Senior Manager, Data Science/ML

Senior Manager, Data Science/ML

CookUnity

Los Angeles, CA

Full-time

Medical, Vision, Retirement, PTO

Posted 8 days ago

Job description

About CookUnity:

Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you've found the right job posting.

The role:

We're looking for a Senior Manager, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale.

As Senior Manager, you'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution.

Responsibilities:Strategic Vision & Product Partnership
  • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes
  • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities
  • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems
  • Translate complex product challenges into clear data science problems with measurable success criteria
  • 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 team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.
Team Leadership & Development
  • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems
  • Foster a culture of innovation, experimentation, and continuous learning within the data science organization
  • Create career development pathways that attract and retain top data science talent
  • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoring
Advanced Analytics & ML Capabilities
  • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey
  • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning
  • Develop causal inference methodologies to understand true incrementality of product changes.
  • Ensure models are observable, explainable where needed, and continuously improved post-launch
Product Measurement & Impact
  • Define product success metrics and measurement frameworks that align with business objectives
  • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance
  • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization
Qualifications:
  • 8+ years of experience in data science, with at least 3 years in leadership roles managing data scientists or ML engineers
  • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling
  • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor
  • Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives
  • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical
  • Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy
  • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow)
  • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)
Preferred requirements:
  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field
  • Experience with real-time ML systems and feature stores
  • Background in recommendation systems or two-tower/multi-modal embeddings
  • Familiarity with generative AI and LLM applications in product contexts
  • Experience building data science teams from scratch or through periods of rapid growth
  • Prior work in subscription businesses or retention-focused products
  • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)
What Success Looks Like
  • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership
  • 12 months: Scaled the product data science function with key hires; delivered measurable improvements in personalization and customer engagement metrics; implemented robust experimentation frameworks used across product teams
Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect!

Benefits

🩺 Health Insurance coverage

🌅 401k Plan

📈 We grow, you grow: Stock Options Plan granted on Day 1

🌟 Eligible for a bi-annual performance bonus

⛱ Unlimited PTO

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly

🧘🏽‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

👩🏾‍🏫 Personalized Spanish coach

🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.
Pay Range for this position
$225,000—$240,000 USD

If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

A quick note for all candidates
We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us:

  • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com
  • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page.
  • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.
  • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away.

If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.