(USA) Data Scientist III

Wal-Mart Stores, Inc.
Bentonville, AR, United States
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$90,000.0 - $180,000.0
Working hours
Regular working hours
Job source

Tech stack

Adobe Analytics Web Accessibility Data Analysis Application Frameworks Artificial Neural Networks Program Optimization Computer Programming Data Visualization Digital Assets R (Programming Language) Statistical Hypothesis Testing Python (Programming Language)
+17 more
Machine Learning Tensorflow Scala (Programming Language) SQL Databases Systems Integration Web Content Accessibility Guidelines Feature Engineering Apache Spark Scikit Learn Information Technology Data Analytics Feature Selection Data Management Machine Learning Operations Software Coding Data Pipelines Programming Languages

Job description

  • Apply advanced statistical and machine learning techniques to develop and refine analytical models that address complex business challenges.

  • Conduct exploratory data analysis, feature selection, and hypothesis testing to generate actionable insights.

  • Collaborate with cross-functional teams to translate business requirements into scalable data solutions and model deployments.

  • Ensure data quality, governance, and management standards are maintained throughout the data lifecycle.

  • Develop, test, and optimize code using SQL, Python, and other programming languages to support data pipelines and model integration.

Requirements

Walmart is seeking a Data Scientist III to advance data-driven decision-making by applying advanced analytical modeling, statistical methods, and machine learning techniques. This role involves developing and deploying scalable models, conducting exploratory data analysis, and collaborating across business functions to deliver actionable insights. The successful candidate will leverage expertise in data management, quality standards, and programming to support business objectives and optimize data assets. This position requires strong problem-solving skills, technical proficiency, and the ability to communicate complex findings effectively to influence strategic initiatives., + Proven expertise in data management, data quality within complex ecosystems.

  • Advanced proficiency in statistical methods, machine learning algorithms, and analytical modeling techniques including Bayesian inference and neural networks.

  • Strong programming skills in SQL, Python, and R, with experience in code development, testing, and model deployment.

  • Ability to conduct exploratory data analysis, feature engineering, and performance modeling to deliver actionable business insights.

  • Experience with big data tools such as Apache Spark for scalable model development.

  • Solid understanding of business requirements and domain knowledge across multiple functions to translate problems into data-driven solutions.

  • Capability to mentor junior associates and communicate complex data findings effectively using advanced visualization tools., Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years’ experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years’ experience in an analytics or related field.

Preferred Qualifications…

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Benefits & conditions

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam’s Club facilities. Programs range from high school completion to bachelor’s degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart (https://one.walmart.com/) .

Bentonville, Arkansas US-30008: The annual salary range for this position is $90,000.00 - $180,000.00

Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

  • Stock

About the company

Our team develops advanced digital experiences for Walmart Business, enabling businesses to efficiently discover and purchase products via the website and app. We focus on business-specific solutions such as customer onboarding, verification, business identity, inventory discovery, and personalized shopping journeys. Leveraging AI, data, and scalable engineering, we create intelligent experiences that enhance product discovery and drive qualified traffic through innovative GenAI search and citation engines. This team is dedicated to solving complex customer challenges at scale and shaping the future of AI-powered commerce in B2B environments., Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

2:18 min

Introduction to data science applications in the retail sector

Julian Joseph · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

2:56 min

Options for database machine learning integration architectures

Akmal Chaudhri Akmal Chaudhri · LIVE

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

Videos

See all

Related articles

See all