Position Summary:
As a Senior Data Scientist you will be in a role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization. You will have a chance to work with the world's best machine learning scientists, engineers and product managers to solve some of the most challenging problems from e-Commerce and advertising business.
About the team:
The mission of the Advertising Technology organization is to advance Walmart e-Commerce by driving higher value for our customers and vendor partners. Walmart is investing in building a world-class advertising platform and the Ads team is responsible for defining, innovating, and building performance advertising products that drive product discovery, sales and profits.
What you will Do:
- Research, innovate and develop cutting-edge machine learning models and algorithms with high-dimensional, complicated unstructured and structured data.
- Experiment and process large scale e-Commerce datasets using distributed computing platform, mining insights from data, discover and build models that optimize towards various business goals and metrics.
- Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, measurement and optimization.
- Build machine learning, deep learning, reinforcement learning, active learning algorithms to continuously drive ads relevance and conversions; build end to end system and solution to optimize advertising products performance.
- Conduct large scale A/B testing and offline/online experiments to evaluate performance of new machine learning models which serve hundreds of millions of ad impressions per day.
- Work closely with leaderships, product managers, system engineers to continuously and collaboratively ship new models, algorithms and improvements into production. Present business insights internally and externally.
What you will bring:
- You’re experienced with Data Science and Machine Learning (aka A.I.), including Regression, Classification, Clustering, Ensemble Methods, Deep Learning, Active Learning, Reinforcement Learning, etc.
- You have strong implementation experience with at least one of the programming languages (Python, Java, C++, etc.).
- You have strong hands-on skills in data wrangling over massive datasets using distributed computing platform.
- You have strong written and oral communication skills.
- You have a graduate degree in a computational science with a lot of emphasis in Machine Learning and Data Science.
- You have experience in online advertising, recommender system, search engine, natural language processing, ecommerce or related areas.
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. We’re 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.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
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 diversity- 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.
The annual salary range for this position is $117,000.00-$234,000.00. Additional compensation includes annual or quarterly performance bonuses.
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.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
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:
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America