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Remote Walmart Data Science Jobs in California (NOW HIRING)

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

StubHub

Data Science Manager

Los Angeles, CA · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA What You'll Do

Walmart

Principal, Data Scientist

Sunnyvale, CA · Remote

... data science, machine learning, and agentic AI to solve highimpact business problems across Walmart's global operations. You will build production ML systems, deploy autonomous AI agents, and ...

Jj

Manager, Data Science - Oncology

San Diego, CA · On-site +1

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

Fox

Data Scientist Remote

Los Angeles, CA · On-site +1

$146.68K - $161.35K/yr

Requires a Master's degree in Data Science, Computer Science, Information Technology, Engineering or related field, plus two (2) years of experience in data science or related experience in MLOps ...

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 ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

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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.

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Remote Walmart Data Science jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Other

This job post has expired today. Applications are no longer accepted.

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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