Data Scientist

Description:

What you'll do...
Are you a hardcore numbers person who would enjoy solving some of the business's toughest challenges by illuminating phenomena and opportunities held within one of the world’s largest data sets? As a Data Scientist at Walmart, the mammoth scale and volume of our global data are virtually limitless. You will create insights that influence how we make decisions that have an impact at an unprecedented scale.

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 omnichannel 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 the 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: 

· Process complicated and large-scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize business metrics.

· Build advanced machine learning and statistical models with various applications in SEM (search engine marketing), including ads performance prediction, bidding optimization, budget management, audience targeting, and measurement.

· 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 an inquisitive, out-of-the-box thinker who’s continually on the lookout for opportunities to improve and innovate data science solutions

· You have consistently high standards, your passion for quality is inherent in everything that you do

· You have the courage to fail fast

· You have proven ability as a full-stack data scientist who develops, optimizes, and scales models for the production environment

· You connect the how and why using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose

Minimum Qualifications

· Master's degree in Computer Science, Statistics, Optimization or related field plus 2 years' experience in a machine learning related field.

· Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platforms (Python, R, SQL, Spark, Hive, etc.).

· Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.

· Experienced with end-to-end modeling projects emerging from research efforts.

· Strong written and oral communication skills