Data Scientist

Redolent • Sunnyvale, CA

25d • Remote

About The Position

The Marketing Decision Science team focuses on developing data-driven models and services to bring 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.

Requirements

• Experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, NLP, and Reinforcement Learning.
• Strong implementation experience with at least one programming language (Python, R, Java, Scala, etc.).
• Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform.
• Strong written and oral communication skills.
• A Ph.D. in computer science, statistics, or other related fields with an emphasis on Machine Learning or a Master’s degree with 2+ years of data science experience.
• Experience in tackling prediction problems: exploring data, building models, and analyzing performance.
• Enthusiasm for trying out new algorithms, new data features, new problem statements, new ideas you read in a paper: an always-learning mentality.
• Proactive mindset: going beyond a specific task to thinking about any improvements that can help the team.
• Communication skills – the ability to present insights to others in the organization.

Responsibilities

• Build machine learning and statistical models to predict or estimate key signals that are used to optimize marketing campaign performance, such as search engine marketing, customer targeting.
• Run large-scale statistical A/B tests to evaluate the performance of machine learning and statistical models in SEM applications.
• Process complicated and large-scale datasets on distributed computing platforms using queries, extract insights from data, predict future trends, and optimize business metrics.
• Build compelling data visualizations and interactive dashboards for monitoring.
• Communicate new algorithm suggestions, performance results and business insights to both technical and business teams, internally and externally.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree