The Sam's Club Member Access Platform (MAP), the retail media network arm, is the nexus of the Supplier -Marketer- Merchant partnership and is responsible for delivering our suppliers (advertisers) impactful omnichannel advertising member experiences that are married with closed-loop measurement. We are seeking a talented and experienced Principal Data Scientist to lead the development of a state-of-the-art multi-touch attribution solution specifically tailored for a retail media network. Principal Data Scientist of Multi-touch Attribution will have the exciting opportunity to be part of a thriving data science team that will shape MAP's data innovation strategy.
About the Team
The Measurement, Insights and Data Strategy (MINDS) team is a data and analytics function supporting the MAP organization, responsible for providing campaign performance measurement and audience insights for marketing effectiveness and optimization, while leading innovation and monetization initiatives through media experimentation and data strategy. The team fuels MAP's winning formula - easy to buy, easy to sell, easy to operate to drive accelerated growth for both supplier brands and Sam's Club - by taking full advantage of the unique strength in 100% traceable member journey data, omni-channel fulfillment capabilities, and personalization capabilities, with growing member reach.
What you'll do:
Develop, implement, and refine a multi-touch attribution solution for a retail media network by collaborating with marketing, operations, data engineering, product management and other stakeholders, utilizing both online and offline data sources.
Spearhead the design and execution of advanced statistical modeling techniques and machine learning algorithms to analyze complex data sets, uncover key drivers of consumer behavior, and attribute marketing touchpoints accurately.
Support Alpha and Beta testing with select advertisers by developing proof-of-concept MTA models, applying intelligent priors from other measurement methodologies and experiments, validate model outputs, prepare GTM materials, interpret outcomes and translate into actionable recommendations for campaign optimizations and white space campaign planning.
Based on the learnings from alpha and beta testing, expand MTA models to more advertisers in subsequent phases by developing scalable data science pipelines and automation processes for efficient data collection, processing, cleansing, modeling, and validations ensuring data integrity and measurement accuracy.
Design and oversee A/B experiments to validate and optimize the effectiveness of the attribution model, ensuring robustness and statistical significance.
Stay abreast of the latest advancements in multi-touch attribution methodologies, industry trends, and emerging technologies, and apply them effectively to enhance the model's performance.
Drive continuous improvement and optimization of the attribution model by monitoring its performance, evaluating metrics, and implementing necessary adjustments.
Drive monetization strategy to leverage measurement insights to drive high performance for MAP's advertisers and ad revenue growth for MAP business.
Provide technical leadership and mentorship to a team of data scientists, guiding their work and fostering a collaborative and innovative environment.
What you'll bring:
Experience in retail media, digital media, marketing measurement, experimentation and site/ search analytics
Proven experience as a Principal Data Scientist or similar, specializing in multi-touch attribution, preferably within the retail or digital advertising industry.
Strong expertise in advanced statistical modeling (e.g., regression analysis, time series analysis), machine learning algorithms (e.g., decision trees, random forests, neural networks), and data analysis.
Experience in experimenting with various MTA models ranging from basic attribution using Linear models, Time-decay attribution, Position based, U-Shaped, to advanced Marko-chain and ML-based Deep Neural network models.
Proficiency in programming languages such as Python or R, and experience working with big data technologies (e.g., Hadoop, Spark) and data visualization tools.
Demonstrated experience in leading and mentoring a team of data scientists, fostering a collaborative and innovative environment.
Excellent communication and presentation skills, with the ability to effectively convey complex findings and recommendations to both technical and non-technical audiences.
Strong problem-solving skills, attention to detail, and ability to work in a fast-paced, dynamic environment.
Statistical analysis experience, including but not limited to experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
Comfortable with ambiguity and thrive in an environment with rapid change.
Curious, collaborative and enjoys working on complex problems.
Preferred Skills:
Master's degree in Statistics, Mathematics, Computer Science, or a related field. (Ph.D. Preferred)
7+ years of experience in retail media, digital media, marketing measurement, experimentation and site/ search analytics
Proven experience (4+ years) as a Principal Data Scientist or similar, specializing in multi-touch attribution, preferably within the retail or digital advertising industry.
Strong expertise in advanced statistical modeling (e.g., regression analysis, time series analysis), machine learning algorithms (e.g., decision trees, random forests, neural networks), and data analysis.
Experience in experimenting with various MTA models ranging from basic attribution using Linear models, Time-decay attribution, Position based, U-Shaped, to advanced Marko-chain and ML-based Deep Neural network models.
Proficiency in programming languages such as Python or R, and experience working with big data technologies (e.g., Hadoop, Spark) and data visualization tools.
Statistical analysis experience, including but not limited to experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
Benefits & Perks:
Beyond a great compensation package, 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.
Equal Opportunity Employer:
Sam's Club is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
* Relocation Assistance is not available for this role.