(USA) Principal, Data Scientist
(USA) CA SUNNYVALE Home Office SUNNYVALE III - 840 W CALIFORNIA
Applications have closed
Walmart
What’s a career at Walmart or Sam’s Club like? To find out, explore our culture, our opportunities and the difference you can make.Position Summary...
What you'll do...
The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning 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 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:
- 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'll bring:
- You’re experienced with Data Science and Machine Learning (aka A.I.), including Regression, Classification, 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.
- 2+ years of experience mentoring junior data scientists or machine learning team.
- 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, ecommerce or related areas.
- You’re experienced with end-to-end modeling projects emerging from research efforts.
- You have an excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.
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 expert's 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:
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.
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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location...
840 W CALIFORNIA AVE, SUNNYVALE, CA 94086-4828, United States of AmericaTags: A/B testing Big Data Classification Computer Science Data Mining Deep Learning E-commerce Econometrics Economics Industrial Java Machine Learning Mathematics ML models Open Source PhD Python R Reinforcement Learning Research Scala Scikit-learn Spark Statistics TensorFlow Testing
Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex hours Flex vacation Health care Insurance Medical leave Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs