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Data Science Developer Jobs in California (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

1 point system

Data Science Engineer

Century City, CA · On-site

Minimum 3 years working in a Data Science role * Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business * Master's Degree in relevant discipline ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ... Analyze data to identify or resolve operational problems to create processes to reverse engineer ...

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 develop computational and data-driven methods supporting research in algebraic geometry, computational ...

Adobe

Data Science Engineer

San Jose, CA

$134K - $161K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

Adobe

Data Science Engineer

San Jose, CA

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant ...

Find Data Science

Data Scientist

San Francisco, CA

... Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment. * Strong proficiency in programming languages ...

New

Adobe

Data Science Engineer

San Francisco, CA

$134K - $162K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

With a charge to uplevel Figma's use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data ...

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All JobsData Science Developer JobsData Science Developer Jobs in California

Data Science Developer information

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How much do data science developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data science developer in California is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $66.44 per hour, depending on experience, location, and employer.

Is data science highly paid?

Data science developers are generally well-paid due to high demand for skills in statistical analysis, machine learning, and programming languages like Python and R. Salaries vary by experience, location, and industry, but data science roles often offer competitive compensation compared to other tech positions.

What are some common challenges data science developers face when integrating models into production environments?

Data Science Developers often encounter challenges in bridging the gap between developing models in experimental settings and deploying them into scalable, reliable production systems. Issues such as data inconsistencies, version control, and ensuring model reproducibility can arise. Additionally, collaborating effectively with DevOps and engineering teams to automate deployment pipelines and monitor model performance is crucial for long-term success. Understanding both machine learning and software engineering best practices helps overcome these hurdles and ensures smooth, efficient integration.

What is a data science developer?

A Data Science Developer is a professional who combines expertise in programming, statistics, and data analysis to build models and algorithms that extract insights from large datasets. They often work with machine learning techniques, data visualization, and various data processing tools to solve business problems. Data Science Developers collaborate with other teams to design and implement data-driven solutions, and are skilled in languages like Python, R, or Scala. Their work is essential for organizations looking to leverage data for decision-making and innovation.

What are the key skills and qualifications needed to thrive as a data science developer, and why are they important?

To thrive as a Data Science Developer, you need strong expertise in statistics, machine learning, programming (Python, R), and a background in computer science or a related quantitative field. Familiarity with data analysis tools (such as Pandas, NumPy, and scikit-learn), cloud platforms (like AWS or Azure), and experience with databases (SQL/NoSQL) are typically required, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams help you stand out. These skills are essential for building data-driven solutions that translate complex data into actionable business insights.

Is data science hard to learn?

Data science is a complex field that requires learning skills in programming, statistics, and data analysis, which can be challenging for beginners. Success often depends on prior knowledge, dedication, and practice with tools like Python or R, as well as understanding data concepts. While it can be difficult initially, consistent effort and training can make it manageable for many learners.

What is the difference between Data Science Developer vs Data Analyst?

AspectData Science DeveloperData Analyst
Required SkillsProgramming, machine learning, data modelingData visualization, statistical analysis, reporting
CertificationsData Science certifications, Python/R expertiseExcel, SQL, Tableau certifications
Work EnvironmentTech companies, startups, R&D teamsBusiness departments, marketing, finance
Job FocusDeveloping algorithms, predictive modelsInterpreting data, generating reports

While both roles analyze data, Data Science Developers focus on building models and algorithms to solve complex problems, often requiring programming and machine learning skills. Data Analysts primarily interpret existing data sets to generate insights and reports for business decisions. The roles overlap in data handling but differ in technical depth and objectives.

Is data science a growing career?

Data science is a rapidly expanding field with increasing demand for professionals skilled in statistical analysis, machine learning, and data visualization. As organizations rely more on data-driven decision-making, roles like data science developers are expected to grow significantly in the coming years.
What are popular job titles related to Data Science Developer jobs in California? For Data Science Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Developer jobs in California look for? The top searched job categories for Data Science Developer jobs in California are:
Data Science Developer jobs near you
Infographic showing various Data Science Developer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,623 per year, or $56.1 per hour.

Data Science

Adidev Technologies Inc

San Francisco, CA • On-site

Full-time

Re-posted 18 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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