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Remote Data Scientist Risk Jobs in California (NOW HIRING)

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 ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

  • Medical

  • Retirement

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

LiveRamp

Senior Data Scientist - Identity

San Francisco, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own end-to-end data science workflows-from problem framing, data exploration, and modeling through ... risk new product investments. * Contribute high-quality, well-tested, and maintainable code ...

Meta

Data Scientist (Technical Leadership)

Sunnyvale, CA · On-site +1

$210K/yr

As a Data Scientist, you will collaborate on a wide array of product and technical problems with a ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

  • Medical

  • Retirement

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Valdera

Chemical Data Scientist

San Francisco, CA · Remote

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... remote environment with ambiguous, evolving priorities \\n Salary Range: Salary ranges are ...

Valdera

Chemical Data Scientist

San Francisco, CA · Remote

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... remote environment with ambiguous, evolving priorities \\n Salary Range: Salary ranges are ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

finalis

Lead Data Scientist

San Francisco, CA · On-site +1

$195K/yr

  • PTO

Finalis is a high-growth, VC-backed, fully remote startup using AI to build the future of private ... As Lead Data Scientist, you will be the driving force to build a world-class ML and AI insights ...

Socure

Staff Data Scientist - RiskOS

San Francisco, CA · Remote

$205K/yr

As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science ... You will leverage your expertise in fraud and risk management to help develop and integrate robust ...

Tailored Brands

Data Scientist - Machine Learning

Dublin, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Job We currently have an exciting opportunity for Data Scientist - Machine Learning, to ... remote office location with the ability for occasional travel for team meetings and events.

Farmers Insurance

Lead Data Scientist

Woodland Hills, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... Job Summary Farmers Group (Woodland Hills, CA) seeks a Lead Data Scientist to apply advanced ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... CorVel Careers | Opportunities in Risk Management In general, our opportunities will be posted for ...

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Remote Data Scientist Risk information

Can you work remotely as a data scientist?

Remote data scientist roles are common in the industry, allowing professionals to work from home or other locations. These positions typically require strong skills in programming, data analysis, and tools like Python or R, and may involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for qualified candidates.

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For Remote Data Scientist Risk jobs in California, the most frequently searched job titles are:

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Remote Data Scientist Risk jobs near you
Infographic showing various Remote Data Scientist Risk 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.

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-posted 25 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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