(USA) Staff Data Scientist - Marketing Decision Sciences

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

What you'll do...

What you'll do...

The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.

We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.

You’ll make an impact by:

• 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 business metrics.
• Build advanced feature extraction algorithms that feed into various applications in SEM (search engine marketing), including bidding optimization, budget management, audience targeting, and measurement.
• Build machine learning and statistical models to predict or estimate key signals that are used to optimize SEM performance.
• Run large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in SEM applications which drives millions of clicks to Walmart eCommerce per day.
• Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.

You’ll sweep us off our feet if:

• You’re experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, and Reinforcement Learning.
• You have strong implementation experience with at least one programming language (Python preferred).
• You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data 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 Ph.D. in computational science with an emphasis on Machine Learning.
• You have experience in search engine marketing, eCommerce or relevant 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.