It is an exciting time to join our Walmart Technology journey. We are seeking a Senior Data Scientist. This position is part of the Walmart Global Tech SEM (Search Engine Marketing) Engineering team. SEM team oversees optimizing paid and free search for Walmart in search engines. We are tasked with optimizing ad spend on revenue (Return on Ad Spend) while making sure as many ads for the items from our catalog as practical get impressions, clicks and conversions, while doing it at scale, meaning, the traffic quality should be maintained regardless of amount of ad spend. We use data science methods to dynamically modify keywords and product ad bids across top search engine providers. The team is responsible for building data pipelines and API (Application Programming Interface) integrations enabling us to do so, with concerns of SLA (Service Level Agreement) and data quality squarely in focus, as well as building internal tool to provide our business partners control and visibility of SEM operations. Our challenge is immense. Presently, the catalog is expanding by tens of thousands of items daily and keyword universe is growing as well. We are a highly motivated group of Big Data Geeks, Data Scientists and Applications Engineers, working in small agile groups 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 innovative machine learning, data mining and optimization algorithms underneath it all to analyze all this data on top of Hadoop and Spark. Come join a team that is merging digital and physical, building real-time systems at scale, responding quicker to changes.
You’ll sweep us off our feet if you…
Have a good analytics background with an eye for optimization, data accuracy and anomaly detection
Experience with latest ML (Machine Learning) algorithms
Experience with visualization dashboards and charting tools like Tableau and Power BI
Comfortable with SQL, Python, Spark, Scala, R
Demonstrate competencies across multiple layers of the tech stack
Working knowledge in public cloud and streaming infrastructure. Knowledge / experience with Google and Azure public clouds
Desire to keep up with technology trends
Have the desire to learn
You’ll make an impact by…
Participate in the full lifecycle of product development, with emphasis on analytics and insights.
Build internal tool(s), data pipelines, analyze big datasets, find pockets of opportunities in our multi million ad universe, develop sophisticated analyzers to detect data inaccuracies in our pipelines and visibility of SEM operations.
Find areas for optimizations and build a case for a real-life A/B test by doing power analysis to establish the hypothesis
What you’ll do…
Develop Marketing Signals for SEM Spend Optimizations leveraging Sales, Marketing and Clickstream datasets
Build a case for optimization using the historical data and use models to expand the problem set
Using power analysis to show the feasibility of an A/B test
Execute A/B test at a large scale and based on outcome influence incremental revenue and traffic growth for Walmart.
Deliver analytical tools to increase productivity of Data Analysts, Data Scientists and Marketers
Help Marketing Engineering organization to become a 100% data driven organization by building systems that bring accurate and timely data to the Marketers
Perform deep analysis leveraging customer datasets to build customer insights
In partnership with Data Science team, deliver newer models to improve performance and profitability
Work closely with our Data Science team to develop various attribution models and build needed datasets and reporting dashboards
Use the available tools of modern data science to analyze petabytes of data.
Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing, and monitoring.
Be creative and learn new skills
Utilizes industry research to improve Wal-Mart's technology environment by analyzing industry best practices; bench marking industry against internal processes and solutions; researching or influencing future industry solutions for fit with internal needs; and defining software development guidelines, standards, and processes.
What you’ll bring…
5+ years of experience in analytics and charting.
Knowledge of applied statistics in the context of A/B test design
Prior experience in marketing analytics / ecommerce
Experience with R, Python or other languages used by ML programmers
Comfortable working with Spark / Hive and other Bigdata tools and experience with Airflow for ETL (Extract Transform Load) will be a plus
Experience with visualization tools like Tableau
Strong computer science fundamentals: data structures and algorithms.
Excellent debugging and problem-solving capability
Motivated team player who goes over and above what is asked
Strong hands-on development skills to prototype technical solutions.
Proficient in new and emerging technologies.
Exceptional communication and interpersonal skills
Strong in Agile (Scrum) methodology
Benefits & Perks
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Who We Are
What started small, with a single discount store and the simple idea of selling more for less, has grown over the last 50 years into the largest retailer in the world. Each week, over 260 million customers and members visit our 11,695 stores under 59 banners in 28 countries and e-commerce websites in 11 countries. With fiscal year 2017 revenue of $485.9 billion, Walmart employs approximately 2.3 million associates worldwide. Walmart continues to be a leader in sustainability, corporate philanthropy and employment opportunity. It's all part of our unwavering commitment to creating opportunities and bringing value to customers and communities around the world.
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We’ll collaborate in person at a regular cadence and with purpose.
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.
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)
600 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-2486, United States of America