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Full Time Optum Data Science Jobs in California (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and ...

Walmart

Senior Director, Data Science

San Jose, CA · On-site

$208K - $416K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

New

Walmart

Senior Director, Data Science

Milpitas, CA · On-site

$208K - $416K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

New

Walmart

Senior Director, Data Science

Fremont, CA · On-site

$208K - $416K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

New

Walmart

Senior Director, Data Science

Hayward, CA · On-site

$208K - $416K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

New

Walmart

Senior Director, Data Science

Cupertino, CA · On-site

$208K - $416K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

New

Walmart

Senior Director, Data Science

Mountain View, CA · On-site

$208K - $416K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

New

Walmart

Senior Director, Data Science

San Mateo, CA · On-site

$208K - $416K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

New

Jj

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location ... Milpitas, CA Job Type: Full-Time Rate of Pay: $148,000 - $168,000 Job Duties: Build models for ...

Sonsoft Inc

Data Science Analytics

San Francisco, CA · On-site

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ...

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All JobsOptum Data Science JobsFull Time Optum Data Science JobsFull Time Optum Data Science Jobs in California

Full Time Optum Data Science information

What is the difference between Full Time Optum Data Science vs Full Time Optum Data Analyst?

AspectFull Time Optum Data ScienceFull Time Optum Data Analyst
Required CredentialsTypically requires a degree in Data Science, Statistics, or related field; advanced certifications preferredUsually requires a degree in Data Analysis, Business, or related field; certifications like Excel or SQL beneficial
Work EnvironmentFocuses on developing models, algorithms, and predictive analyticsFocuses on interpreting data, generating reports, and supporting decision-making
Employer & Industry UsageCommonly employed in healthcare and insurance sectors within OptumUsed across healthcare, insurance, and business sectors within Optum

Full Time Optum Data Science roles involve building advanced models and algorithms, requiring technical expertise in data science. In contrast, Full Time Optum Data Analyst positions focus on analyzing data sets and creating reports to support business decisions. Both roles are integral to Optum's data-driven approach but differ in technical complexity and daily responsibilities.

What are the most commonly searched types of Optum Data Science jobs in California? The most popular types of Optum Data Science jobs in California are:
What cities in California are hiring for Full Time Optum Data Science jobs? Cities in California with the most Full Time Optum Data Science job openings:
Full Time Optum Data Science jobs near you
Infographic showing various Full Time Optum Data Science job openings in California as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-posted 11 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)

Employment Type: FULL_TIME

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