Senior Data Scientist - Marketing and Advertising Technology

Key Skills

Deep Learning, Framework, GRU4Rec, Java Programming, Keras software library, Natural Language Processing (NLP), NeurIPS, NumPy, Pandas, Python Programming, R Programming, RNNs, Scala Programming, Scikit-learn, SPARK Programming, SQL

Job Description

We are looking for a passionate and experienced professional to join the data science team at Walmart. Our team partners with engineering teams, business professionals and product managers from a variety of digital marketing channels including SEM, SEO, CRM and Display, etc. The team is dedicated to developing large scale data-driven solutions for digital media to bring high quality demand to Walmart at low cost. Team members have the unique opportunity to mine massive data sets generated by Walmart’s unparalleled online and offline commerce and develop models and algorithms that sustain and accelerate the growth of Walmart through omni channels. You’ll work with our distributed team of diverse and passionate data scientists, engineers, marketers, and product managers to build a world-class marketing science practice and integrated platform designed to support entire Walmart to enhance marketing strategies.

As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning in driving effective marketing strategies. The candidate should enjoy conceptualizing a team’s strategy to identify optimization opportunities and be a strong influence in how those opportunities are tested. Come join our team and be part of this exciting journey.

In this role you will

• Develop and apply state-of-the-art deep learning and natural language processing (NLP) models to support e-commerce marketing and advertising projects, including text classification, text clustering, text generation, entity extraction etc.;
• Utilize cutting-edge machine learning/statistical/optimization techniques to deliver solutions for projects in the domain of marketing science. Examples of projects include acquisition segmentation, churn prediction, channel optimization etc.;
• Design statistically sound A/B testing experiments to properly evaluate the effectiveness and business value of proposed marketing strategies;
• Build, validate, test and deploy predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems;
• Mine massive data, derive business insights, and propose interesting modeling projects that have the potential to have high business impact;
• Collaborate with engineering teams to define interfaces, understanding and resolving dependencies;
• Standardize and build scalable and highly available systems that follow operational best practices;
• Develop visuals and reports to efficiently communicating model results and insights to business teams;
• Maintain world-class academic credentials through patent applications, publications, conference presentations, and external collaboration and service to the research community.

What we are looking for

• Expertise in working with deep-learning and machine learning libraries (Tensorflow, Keras, PyTorch, Sklearn etc.);
• Experience with NLP technologies & the handling of unstructured text, thorough understanding of text pre-processing and normalization techniques (tokenization, lemmatization, stemming etc.);
• Experience with text-analytics, such as sentiment analysis, entity extraction, text generation, language modeling and associated sequence learning models (RNN, LSTM, GRU, Transformers etc.);
• Solid understanding of Python and expertise in working with data science related packages (Numpy, Pandas etc.);
• Prior experience in implementation of industry solution with traditional ML - classification, regression or clustering problem;
• Advanced degree in computer science, statistics, data science, mathematics or other discipline (e.g., electrical engineering, economics, psychology) that exposes scientific methods of research and analysis. PhD degree is a plus;
• Publications in top ML/AI/NLP conferences (NeurIPS, ICML, EMNLP, ACL, ICLR, AAAI, ICCV, ECCV, KDD etc.) is a plus.

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 Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - PhD’s degree in Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology, or related field. Option 4 - 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. 

PhD in Machine Learning, Computer Science, Computational Linguistics, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics. Successful completion of one or more assessments in Python. Using open-source deep learning frameworks (for example, Tensorflow, Torch).

Primary Location...

600 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-2486, UNITED STATES OF AMERICA

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)

Primary Location...

600 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-2486, United States of America

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

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.