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Remote Walmart Data Science Jobs (NOW HIRING)

REMOTE Pay: $85/hr on W2 Duration: 12 months Long-term role with opportunities for hire CPG ... strong background in data science, advanced analytics and data to drive business outcomes.

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Remote Walmart Data Science information

How much does a Data Scientist make at Walmart?

A Data Scientist at Walmart typically earns between $90,000 and $130,000 annually, depending on experience, location, and education. Compensation may also include bonuses and benefits, and the role often requires proficiency in data analysis tools like Python or R and knowledge of machine learning techniques.

Does Walmart hire for remote positions?

Walmart offers remote positions across various roles, including data science, and has expanded its remote work opportunities in recent years. These roles typically require strong analytical skills, proficiency with data tools, and sometimes specific certifications, with flexible schedules depending on the position.

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.

Is 30 too late for data science?

Age is not a barrier to entering data science roles such as a remote Walmart data scientist. Success depends on skills, experience, and continuous learning, with many professionals transitioning into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R.

Can I get a remote job as a Data Scientist?

Yes, many companies, including large retailers like Walmart, offer remote Data Scientist positions that involve analyzing data, building models, and using tools like Python and SQL. These roles often require strong analytical skills, experience with machine learning, and sometimes certifications or advanced degrees. Remote Data Scientist jobs are increasingly available across various industries and typically offer flexible schedules.
More about Remote Walmart Data Science jobs
What cities are hiring for Remote Walmart Data Science jobs? Cities with the most Remote Walmart Data Science job openings:
What are the most commonly searched types of Walmart Data Science jobs? The most popular types of Walmart Data Science jobs are:
What states have the most Remote Walmart Data Science jobs? States with the most job openings for Remote Walmart Data Science jobs include:
Infographic showing various Remote Walmart Data Science job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 63% Full Time, 24% Part Time, and 10% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA โ€ข Remote

Full-time

Posted 28 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