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Remote Walmart Data Science Jobs in California (NOW HIRING)

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

eBay

Data Science - Analyst 4

San Jose, CA · On-site +1

$225K - $254K/yr

About the team and the role: eBay, Inc. seeks Data Science - Analyst 4 in San Jose, CA What you ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...

eBay

Data Science - Analyst 4

San Jose, CA · On-site +1

$149K - $199K/yr

Demonstrated success applying data science, optimization, and AI techniques to drive measurable ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...

3B Staffing LLC

Data Scientist

Oakland, CA · Remote

$58/hr

CA (remote) Contract Duration: 6 months Description: * Design, build, evaluate and defend machine ... Degree in Mathematics, Statistics, Computer Science, or related field * 2+ years of industrial ...

eBay

Data Science - Analyst 2

San Jose, CA · On-site +1

About the team and the role: eBay, Inc. seeks Data Science - Analyst 2 in San Jose, CA What you ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Earnest

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science, Statistics, Business Analytics, or a related field, plus 4 years of experience as a Data Scientist ...

Earnest Co

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science, Statistics, Business Analytics, or a related field, plus 4 years of experience as a Data Scientist ...

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All JobsWalmart Data Science JobsRemote Walmart Data Science JobsRemote Walmart Data Science Jobs in California

Remote Walmart Data Science information

What is the difference between Remote Walmart Data Science vs Remote Walmart Data Analysis?

AspectRemote Walmart Data ScienceRemote Walmart Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; experience with machine learningDegree in Data Analysis, Business, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative remote teams focusing on predictive modeling and advanced analyticsRemote environment emphasizing reporting, data visualization, and descriptive analysis
Employer & Industry UsageUsed across Walmart for strategic insights and product recommendationsUtilized for operational reporting and business performance tracking

Remote Walmart Data Science involves developing predictive models and advanced analytics, requiring programming and statistical expertise. In contrast, Remote Walmart Data Analysis focuses on interpreting data through reports and visualizations, often with less emphasis on coding. Both roles support Walmart's data-driven decision-making but differ in technical complexity and focus.

What are the most commonly searched types of Walmart Data Science jobs in California? The most popular types of Walmart Data Science jobs in California are:
What are popular job titles related to Remote Walmart Data Science jobs in California? For Remote Walmart Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Walmart Data Science jobs in California look for? The top searched job categories for Remote Walmart Data Science jobs in California are:
What cities in California are hiring for Remote Walmart Data Science jobs? Cities in California with the most Remote Walmart Data Science job openings:
Remote Walmart Data Science jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 5 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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