Senior Data Scientist

Jobtailor; Sunnyvale (CA); On-site; USD 117,000 - 234,000; Full time

Benefits offered by this job

401(k) match

Stock purchase plan

Paid maternity and parental leave

Multiple health plans

Paid time off (PTO)

Short-term and long-term disability

Company discounts

Live Better U education benefit program

Job summary

An innovative leader in retail technology seeks a Senior Data Scientist to revolutionize personalization through advanced machine learning and AI. This role offers the chance to spearhead AI initiatives and develop algorithmic solutions that enhance customer experience across various platforms. Join a dynamic team dedicated to leveraging cutting-edge technologies and data-driven insights to redefine retail personalization. You'll collaborate with talented professionals, guiding projects that aim to disrupt traditional practices and achieve ambitious growth goals. If you're ready to make a significant impact in a forward-thinking environment, this opportunity is for you!

Qualifications

• Deep understanding of machine learning algorithms and AI techniques.
• Proficient in programming languages like Java and Python for high-performance applications.
• Experience in building and deploying large-scale machine learning models.

Responsibilities

• Implement machine learning algorithms for personalized recommendations.
• Collaborate with teams to design data pipelines and architectures.
• Communicate insights and findings to stakeholders effectively.

Skills

Machine Learning

AI

Java

Python

Pyspark

Tensorflow

PyTorch

Data Analysis

Regression Models

Neural Networks

Education

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field

Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field

5 years' experience in an analytics or related field

Tools

SQL

scikit learn

Spark

Scala

R

Job description

Position Summary...Walmart Global Tech is looking to hire an exceptionally talented Senior Data Scientist for their Personalization team in Sunnyvale to support
the Personalization, Recommendation and GenAI development efforts with our eCommerce team.

The Senior Data Scientist will be a key player in our Data Science team, spearheading AI initiatives, research, and development of algorithmic
solutions to construct extensive, personalized recommendations and content generation models (visual and textual content) for our omni-channel retail platform. This role will explore and implement cutting-edge technologies, presenting an exciting opportunity to innovate and
shape the future of retail personalization.

As the Senior Data Scientist, you'll be responsible for the comprehensive implementation of Machine Learning algorithms and features,
guiding a scrum team and working in synergy with a skilled team of Product Managers and Technologists to implement ML/AI solutions at
scale. This role offers a unique chance to combine retail industry insights with machine learning algorithms, disrupting traditional business
practices to reach our ambitious growth goals.

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...

• Leverage machine learning technologies such as Java, Python, Pyspark, Tensorflow, and PyTorch to design, develop, and implement high-performance, scalable applications for personalized recommendations.
• Create robust machine learning models using structured and unstructured data sets and advanced algorithms, including Neural Networks, Regression Models, and Gradient Boosting Algorithms.
• Collaborate with data engineers and software developers to design and implement data pipelines and architectures that support recommendations at scale.
• Work with stakeholders across the company to understand business needs and develop data-driven solutions that drive insights and automation.
• Communicate findings and insights to stakeholders through clear and concise reports and presentations.
• Stay up to date with the latest developments in machine learning and apply this knowledge to improve our products and processes.

What you'll bring:

• Deep Understanding of Machine Learning and AI: The candidate should possess a robust understanding of various machine learning algorithms, artificial intelligence, and deep learning techniques. This includes but is not limited to neural networks, regression models, gradient boosting algorithms, reinforcement learning, and large language models. They should be able to develop models with both structured and unstructured data sets.
• Proficiency in Programming, SQL and Data Analysis: The candidate should be highly proficient in languages such as Java, Python, PySpark, and have experience with machine learning frameworks like Tensorflow and PyTorch. They should be capable of using these technologies to design and develop high-performance applications. Additionally, they should have strong knowledge in data analysis methods like dimensionality reduction, predictive modelling, clustering, text mining for effective feature engineering.
• Experience in Large Scale Applied ML Model Building: The candidate should have a prior track record of successfully building, deploying, and maintaining large-scale machine learning models in a production environment. This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution.
• Innovation and Problem-Solving Skills: As the role involves working with new technologies, the candidate should have the ability to innovate and solve complex problems. They should be able to adapt to new technologies quickly and find creative solutions for various business problems.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmarts culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:
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 unique styles, experiences, identities, ideas and opinions while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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.

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

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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.Primary Location...680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America