Walmart
Position Summary
You are a problem solver with critical thinking. You are a team player, like to collaborate with cross-function teams and influence others. You can overview from high-level and deep dive into details with complex subjects. You have an enthusiasm in technology. You're organized, disciplined, and can lead multiple projects simultaneously. You have high standards in quality and operation excellence. You are always looking for challenges and willing to learn.
About the team Walmart's Advertising Technology group enables the connection between supplier brands and retail shoppers at unprecedented scale. We are a highly motivated group of engineers and data scientists, working in an agile group to solve sophisticated and high impact problems. We serve billions of ads requests every month with our high-performance ad servers. There are millions of customers shop on Walmart websites and in stores daily, and advertising helps advertisers bring the best products to our customers. If you want to influence millions of customers on their shopping journeys, we have a role for you.
The AdTech M&R data team is responsible for delivering reporting and measurement for Advertisers to analyze and optimize campaigns. We are a team of data developers and machine learning developers whose strengths are: (1) building scalable data pipelines (2) using machine learning techniques and data science (3) making sense of broadly defined problems through data analysis.
What you'll do
Build data systems that ingest, model, and analyze massive flow of data from online and offline user activities, processing hundreds of millions of sales and impressions data to obtain insights and analytics related to advertising campaign performance.
Develop big data applications for precise audience targeting and cutting-edge measurement for campaign reporting, leveraging the wealth of data within the Walmart ecosystem.
Set up ETL jobs in Jenkins or Airflow to move large volume of distributed data from various sources to secondary data centers for business continuity and disaster recovery.
Troubleshoot business and production issues by gathering information (issue, impact, criticality, possible root cause), engage support teams to assist in resolution of issues, formulate an action plan, performing actions as designated in plan, interpret the results to determine further action, and complete online documentation.
Develop complex software features to streamline and scale batch jobs to support advertising propensity models.
Design, develop, and maintain software for the targeting and reporting data pipelines in Spark, Hadoop and MapReduce.
Develop software using object-oriented languages such as Scala and Java. Implement advertising measurement systems that leverage machine learning and statistical techniques.
Apply regression and classification machine learning methods in developing measurement products.
Use advanced big data scheduling techniques (Jenkins, Airflow) for reliable and recurrent data processing.
Perform advanced data investigations using SQL and Spark or Hive.
Design and develop systems and methods for ensuring quality for large data pipelines and guide the product through all stages of user acceptance process.
Minimum Qualifications
Option 1: Bachelor’s degree in Computer Science and 5 years' experience in software engineering or related field.
Option 2: 7 years’ experience in software engineering or related field.
Option 3: Master’s degree in Computer Science and 3 years' experience in software engineering or related field.
4 years' experience in data engineering, database engineering, business intelligence, or business analytics.
Preferred Qualifications
Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area. We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
PhD in data mining, database systems, data management, machine learning, or statistics is a plus.
Publications in top-tier academic conferences and journals is a plus.
Experience with ad-tech targeting, measurement, identity mapping related domain is a plus.
Patents in data or machine learning related domains is a plus.
Primary Location 680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America
Benefits and additional information At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see One.Walmart. For information about benefits and eligibility, see One.Walmart.
Live Better U is a Walmart-paid education benefit program for associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor’s degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
The annual salary range for this position is $143,000.00-$286,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.
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About the team Walmart's Advertising Technology group enables the connection between supplier brands and retail shoppers at unprecedented scale. We are a highly motivated group of engineers and data scientists, working in an agile group to solve sophisticated and high impact problems. We serve billions of ads requests every month with our high-performance ad servers. There are millions of customers shop on Walmart websites and in stores daily, and advertising helps advertisers bring the best products to our customers. If you want to influence millions of customers on their shopping journeys, we have a role for you.
The AdTech M&R data team is responsible for delivering reporting and measurement for Advertisers to analyze and optimize campaigns. We are a team of data developers and machine learning developers whose strengths are: (1) building scalable data pipelines (2) using machine learning techniques and data science (3) making sense of broadly defined problems through data analysis.
What you'll do
Build data systems that ingest, model, and analyze massive flow of data from online and offline user activities, processing hundreds of millions of sales and impressions data to obtain insights and analytics related to advertising campaign performance.
Develop big data applications for precise audience targeting and cutting-edge measurement for campaign reporting, leveraging the wealth of data within the Walmart ecosystem.
Set up ETL jobs in Jenkins or Airflow to move large volume of distributed data from various sources to secondary data centers for business continuity and disaster recovery.
Troubleshoot business and production issues by gathering information (issue, impact, criticality, possible root cause), engage support teams to assist in resolution of issues, formulate an action plan, performing actions as designated in plan, interpret the results to determine further action, and complete online documentation.
Develop complex software features to streamline and scale batch jobs to support advertising propensity models.
Design, develop, and maintain software for the targeting and reporting data pipelines in Spark, Hadoop and MapReduce.
Develop software using object-oriented languages such as Scala and Java. Implement advertising measurement systems that leverage machine learning and statistical techniques.
Apply regression and classification machine learning methods in developing measurement products.
Use advanced big data scheduling techniques (Jenkins, Airflow) for reliable and recurrent data processing.
Perform advanced data investigations using SQL and Spark or Hive.
Design and develop systems and methods for ensuring quality for large data pipelines and guide the product through all stages of user acceptance process.
Minimum Qualifications
Option 1: Bachelor’s degree in Computer Science and 5 years' experience in software engineering or related field.
Option 2: 7 years’ experience in software engineering or related field.
Option 3: Master’s degree in Computer Science and 3 years' experience in software engineering or related field.
4 years' experience in data engineering, database engineering, business intelligence, or business analytics.
Preferred Qualifications
Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area. We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
PhD in data mining, database systems, data management, machine learning, or statistics is a plus.
Publications in top-tier academic conferences and journals is a plus.
Experience with ad-tech targeting, measurement, identity mapping related domain is a plus.
Patents in data or machine learning related domains is a plus.
Primary Location 680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America
Benefits and additional information At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see One.Walmart. For information about benefits and eligibility, see One.Walmart.
Live Better U is a Walmart-paid education benefit program for associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor’s degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
The annual salary range for this position is $143,000.00-$286,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.
#J-18808-Ljbffr