(USA) Senior, Data Scientist

Position Summary...

What you'll do...

The Senior 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 worlds’ 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:

• Research, design, and implement data models and cutting edge algorithms on high-dimensional, fast-moving, unstructured and structured data.
• Process complicated and large scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize towards business metrics.
• Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, and performance optimization.
• Build machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance.
• Run large scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day.
• Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.

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 h