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Applied Data Science Jobs in California (NOW HIRING)

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 providing direct customer benefit. As lead of this team, you will take complete ownership of the ...

Apple

AI/ML Engineer, Applied Data Science

Cupertino, CA

$172K - $258K/yr

The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions ...

Covalent Corp.

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Strong candidates may come from academic research, measurements in technical industries, or applied data science. You should have experience with: * Hands-on data analysis using Python, SQL, or ...

Waabi

Senior / Staff Applied Scientist

San Francisco, CA · On-site +1

$146K - $280K/yr

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

Waabi

Senior / Staff Applied Scientist

San Francisco, CA · On-site +1

$146K - $280K/yr

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

Waabi

Senior / Staff Applied Scientist

San Francisco, CA · On-site +1

$146K - $280K/yr

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

6sense

Sr. Data Scientist

San Francisco, CA · On-site

Required : • 8+ years of experience building and deploying machine learning solutions in production. • Strong foundation in Machine Learning, Statistics, and Applied Data Science. • Experience ...

Adobe, Inc.

Sr. Manager, People Data Science

San Jose, CA · On-site

$161K - $303K/yr

The Opportunity The Sr. Manager of People Data Science will lead and develop the data science ... Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Adobe

Sr. Manager, People Data Science

San Francisco, CA

$161K - $303K/yr

The Opportunity The Sr. Manager of People Data Science will lead and develop the data science ... Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Adobe

Sr. Manager, People Data Science

San Jose, CA

$161K - $303K/yr

The Opportunity The Sr. Manager of People Data Science will lead and develop the data science ... Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Tesla

Sr. Data Analyst, Machine Learning

Fremont, CA · On-site

$94K - $119K/yr

... applied Data Science or Machine Learning, with a proven track record of building, deploying, and maintaining ML models in production environments • Strong proficiency in Python and ML frameworks (e ...

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All JobsApplied Data Science JobsApplied Data Science Jobs in California

Applied Data Science information

See California salary details

$25.5K

$144.2K

$219.3K

How much do applied data science jobs pay per year?

As of Jun 13, 2026, the average yearly pay for applied data science in California is $144,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,163.00 and $179,198.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What is the salary of applied data scientist?

The average salary of an applied data scientist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and data analysis can earn higher salaries.

What does applied data science do?

Applied data science involves using data analysis, statistical methods, and machine learning techniques to solve real-world problems and inform decision-making. Professionals in this field work with large datasets, programming tools like Python or R, and often collaborate with business teams to develop actionable insights. It requires strong analytical skills and knowledge of data management and modeling.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs involve analyzing data, building models, and using tools like Python, R, and SQL to support decision-making across various industries.

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

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What is an Applied Data Science job?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What are popular job titles related to Applied Data Science jobs in California? For Applied Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Applied Data Science jobs in California look for? The top searched job categories for Applied Data Science jobs in California are:
What cities in California are hiring for Applied Data Science jobs? Cities in California with the most Applied Data Science job openings:
Applied Data Science jobs near you
Director, Process Data Science and Statistics lead

Director, Process Data Science and Statistics lead

AstraZeneca

Santa Monica, CA • On-site

Full-time

Posted 16 days ago

AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical

Job description

We are seeking an experienced leader, Director, Process Data Science and Statistics lead, Process Engineering, within the Cell Therapy Technical Operations function. This role is responsible for end-to-end statistical strategy, data infrastructure, and AI/ML capabilities that enable regulatory submissions, process characterization, and commercial manufacturing readiness for pivotal-stage cell therapy programs.
The Director will own statistical and digital strategies for comparability assessments, process characterization studies, and commercial process monitoring of the cell therapy programs. This role builds and maintains data systems, analytical platforms, and AI-enabled tooling that connect process characterization and manufacturing execution data to statistical analysis and decision support - scaling from early process development through late-stage clinical development and commercial and post-commercial manufacturing.
This position reports to the Executive Director, Process Engineering, Cell Therapy Development and Operations, and is located in either Santa Monica, CA or Gaithersburg, MD.
Accountabilities
Statistical Strategy & Regulatory Support
  • Own end-to-end statistical strategy for comparability assessments (site transfers, significant process changes), process characterization, and aids in control strategy development for pivotal-stage cell therapy programs
  • Apply rigorous statistical frameworks (equivalence testing, process capability analysis, variance component analysis, tolerance intervals) to evaluate drug product quality and generate defensible regulatory narratives under tight timelines
  • Support authoring CMC sections of IND amendments and regulatory submissions; respond to agency questions on manufacturing data and statistical methods
  • Design and analyze DOE studies for process characterization and LVV manufacturing, including risk-based parameter selection and interaction modeling
  • Support process and product characterization for early development activities

Process Monitoring & Reporting
  • Design and maintain process monitoring programs for pivotal and commercial manufacturing, including statistical control charts, alert/action limits, and trend detection
  • Support CMC process and product characterization analysis during early development
  • Build structured interactive reports and dashboards delivering real-time batch visibility, in-process trend tracking, and decision support across programs
  • Support efforts to incorporate AI and ML technologies during early CMC process development

Data Infrastructure & Digital Systems
  • Partner with IT to define requirements for data pipelines and analytical platforms (including tools such as Snowflake, Streamlit applications, other cloud platforms enabling automated reporting) that connect process development and manufacturing execution data to statistical analysis and decision support
  • Drive manufacturing data digitization strategy, working with IT and manufacturing sites to establish scalable data capture and integration for commercial readiness
  • Collaborate with IT to build and maintain data systems including interactive applications for process simulation, lab equipment data integration, and LLM-enabled data analysis and review
  • Develop and deploy AI/ML solutions for process development and manufacturing process understanding, including predictive modeling, clustering, and automated data analysis workflows
  • Support data digitization strategy for process optimization.

Technical Leadership & Mentorship
  • Shape long-term digital manufacturing and data science strategy, driving AI/ML integration and scalable infrastructure to enable commercial readiness
  • Support data science strategy and strategic plans for incorporating AI/ML during early CMC Process Development.
  • Mentor scientists and engineers in statistical rigor, DOE principles, and applied data science to elevate organizational capability
  • Collaborate cross-functionally with R&D, MSAT, Manufacturing Operations, Quality, and IT to align data capabilities with program needs

Required Qualifications
Education
  • Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 6+ years of industry experience
  • OR M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 10+ years of industry experience
  • OR B.S. with 12+ years of hands-on industry experience

Technical Skills
  • Demonstrated expertise in applied data science and statistical methods for process development or manufacturing (equivalence testing, process capability, variance components, DOE, control charting)
  • Proficiency in Python (pandas, scipy, statsmodels, scikit-learn, plotly) and SQL for data analysis and pipeline development
  • Experience with software development practices including version control, automation, and reproducible analysis workflows
  • Experience supporting regulatory submissions (IND, BLA) with statistical analysis and CMC documentation
  • Strong communication skills with ability to translate complex statistical findings into actionable insights for cross-functional audiences and regulatory-ready narratives

Soft Skills
  • Excellent cross-functional communication and collaboration in matrixed environments
  • Ability to work independently, set priorities, and deliver under time-sensitive regulatory timelines
  • Strategic thinking with ability to shape long-term data and analytics roadmaps

Preferred Qualifications
  • 5+ years of experience working with cloud data systems (AWS, Snowflake, Databricks, or similar)
  • Experience building interactive analytical applications (Streamlit, Dash, or similar)
  • Experience with AI/ML methods applied to manufacturing or bioprocess problems, including LLM-based tooling
  • Experience in cell therapy or biologics manufacturing
  • Experience with DOE design and analysis for process characterization
  • Track record of building and deploying automated reporting and process monitoring systems

When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
The annual base salary for this position ranges from $161,252.80 - $241,879.20. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related experience. If hired, employee will be in an "at-will position" and we reserve the right to modify base salary (and any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Why AstraZeneca?
At AstraZeneca's Biopharmaceuticals R&D division, we are nimble and agile, always harnessing our diverse knowledge. We are part of the solution, turning our drug development strategies into reality. Work at all stages of development to translate our life-changing science into medicines to get the best results for AstraZeneca, patients in need and healthcare professionals. We are a diverse and open-minded team harnessing our different skills and experiences. Our differences enable us to explore new ideas and ways of doing things. It keeps us on our toes and excited for what's next.
Ready to make a difference? Apply today and join us in our mission to create life-changing medicines!
So, what's next!
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it's yours.
Where can I find out more?
Check out our landing page for more information on our BPD group https://careers.astrazeneca.com/bpd
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Date Posted
28-May-2026
Closing Date
18-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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