
(USA) Staff, Data Scientist
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Overview
Schedule
Full-time
Part-time
Career level
Senior-level
Compensation
$110,000-$286,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Job Description
Position Summary...
What you'll do...
Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems.Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What you'll do:- Lead high-caliber team to build large-scale Genai systems
- Develop data science systems and tools for retail; e-commerce applications:
- Leverage LLMS to summarize and build large scale applications
- Establish cross-functional relationships to maintain win-win situation for the corporation
- Collaborate with various product stake holders and business owners to formulate and productionize a solution
- Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems.
- Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
- Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.
- Solid understanding of LLMs and Genai ecosystems, including GPT, Llama, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.
- Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,
- Experience with Big Data processing and feature engineering using Spark
- Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
- Hands on experience of designing and training large DL models on GPU
- Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
- Ability to clearly define problems, models and constraints from informal and flexible business requirements
- Tech leadership with teamwork spirit, quick adaptation to new environment
- Form collaborative working environment.
- Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines.
- Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability.
- Highly motivated to demystify emerging technologies and drive adoption across teams and stakeholders.
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Minimum Qualifications...
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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred 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, PhD 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.Primary Location...
601 N Walton Blvd., Bentonville, AR 72716, United States of AmericaWalmart 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.Automate your job search with Sonara.
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FAQs About (USA) Staff, Data Scientist Jobs at Walmart
What is the work location for this position at Walmart?
This job at Walmart is located in Bentonville, Arkansas, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Walmart?
Candidates can expect a pay range of $110,000 and $286,000 per year.
What employment applies to this position at Walmart?
Walmart lists this position under the following employment categories:
- Full-time
- Part-time
What experience level is required for this role at Walmart?
Walmart is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Walmart for this role?
Walmart offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Disability Insurance, Life Insurance, Paid Vacation, Paid Sick Leave, Parental and Family Leave, 401k Matching/Retirement Savings, Tuition/Education Assistance, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Walmart?
You can apply for this role at Walmart either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.