Walmart
Senior, Data Scientist (Ad Measurement) - Walmart Connect
Walmart, California, Missouri, United States, 65018
Position Summary
As part of Walmart Connect, you’ll be part of building industry defining omni-channel retail analytics capabilities that enable brand advertisers to invest strategically, confidently, and effectively. If you are motivated by complex, purposeful challenges, this role at Walmart Connect could be the fit you’ve been looking for. We are looking for a
Senior Data Scientist
to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques.
What you'll do...
Build predictive models, derive media insights, and define statistically sound solutions including but not limited to
lift analysis ,
experiment design ,
incrementality testing ,
marketing mix models ,
multi touch attribution ,
uplift targeting , automated optimization strategies, and advertiser-facing recommendations.
Perform hands-on coding to retrieve and analyze large datasets using SQL, Python, VBA, and/or R.
Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholders.
Contribute to building measurement/analytics tools and platforms that reflect the best and most appropriate solutions available.
Manage and streamline data extraction processes with great attention to detail.
Assess the potential usefulness, validity, and rigor of new data sources.
Work with cross-functional teams to ensure that the quality of the data is of the highest standard.
Minimum Qualifications
Master’s degree in statistics/mathematics, engineering, computer science, economics, or related field.
4+ years of industry experience in data, analytics, or data science role.
Experienced with display advertising measurement, including Synthetic Control Methodology, Ghost Ads, RCTs, and Experiment Design.
Experienced with Time Series Analysis, Bayesian Methods for Lift Studies.
Proficient coding skills (SQL/Python/R).
Deep knowledge of relational database capabilities.
Experience in integrating, structuring, and analyzing large amounts of data from diverse sources.
Strong project management skills and attention-to-detail documentation skills.
Experience with big data technologies (Spark, Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker, etc).
Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the business.
A passion for working in a fast-paced agile environment.
A collaborative mindset and sense of curiosity.
Preferred Qualifications
PhD degree in statistics/mathematics, engineering, computer science, economics, or related field.
Experience with predictive modeling algorithms and optimization techniques.
Experience applying statistics to business problems.
Experience with advertising, measurement, and/or digital marketing analytics.
Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
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.
Primary Location:
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
#J-18808-Ljbffr
As part of Walmart Connect, you’ll be part of building industry defining omni-channel retail analytics capabilities that enable brand advertisers to invest strategically, confidently, and effectively. If you are motivated by complex, purposeful challenges, this role at Walmart Connect could be the fit you’ve been looking for. We are looking for a
Senior Data Scientist
to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques.
What you'll do...
Build predictive models, derive media insights, and define statistically sound solutions including but not limited to
lift analysis ,
experiment design ,
incrementality testing ,
marketing mix models ,
multi touch attribution ,
uplift targeting , automated optimization strategies, and advertiser-facing recommendations.
Perform hands-on coding to retrieve and analyze large datasets using SQL, Python, VBA, and/or R.
Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholders.
Contribute to building measurement/analytics tools and platforms that reflect the best and most appropriate solutions available.
Manage and streamline data extraction processes with great attention to detail.
Assess the potential usefulness, validity, and rigor of new data sources.
Work with cross-functional teams to ensure that the quality of the data is of the highest standard.
Minimum Qualifications
Master’s degree in statistics/mathematics, engineering, computer science, economics, or related field.
4+ years of industry experience in data, analytics, or data science role.
Experienced with display advertising measurement, including Synthetic Control Methodology, Ghost Ads, RCTs, and Experiment Design.
Experienced with Time Series Analysis, Bayesian Methods for Lift Studies.
Proficient coding skills (SQL/Python/R).
Deep knowledge of relational database capabilities.
Experience in integrating, structuring, and analyzing large amounts of data from diverse sources.
Strong project management skills and attention-to-detail documentation skills.
Experience with big data technologies (Spark, Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker, etc).
Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the business.
A passion for working in a fast-paced agile environment.
A collaborative mindset and sense of curiosity.
Preferred Qualifications
PhD degree in statistics/mathematics, engineering, computer science, economics, or related field.
Experience with predictive modeling algorithms and optimization techniques.
Experience applying statistics to business problems.
Experience with advertising, measurement, and/or digital marketing analytics.
Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
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.
Primary Location:
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
#J-18808-Ljbffr