Position Summary...
What you'll do...
www.walmartconnect.com
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 Data Scientist to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques.
In this fast-growing team, our Data Scientists help build predictive models, derive media insights, define statistically sound solutions including but not limited to marketing mix models, multi touch attribution, uplift targeting, automated optimization strategies, and advertiser-facing recommendations. This role combines science leadership, client-facing communication, organizational ability, technical strength, product focus and Digital Advertising business understanding.
You'll sweep us off our feet if...
You're proficient in modeling algorithms and programming languages
Must have professional experience in Digital Advertising, Retail Media, and Ads measurement
You're comfortable influencing others, communicating clearly with clients and working with cross functional stakeholders
You're customer-centric in spirit and in execution
You have a test and learn mentality and an agile way of working to improve your solutions
You are adaptable and don't miss a beat with changing asks
LOCATION: Chicago, IL
Must be able to work in-office as needed. This position requires a hybrid in-office schedule.
Responsibilities
Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to stakeholders
Perform hands-on modeling and complex analyses using SQL & Python
Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
Partner with cross-functional team to streamline data science solutions
OUR IDEAL CANDIDATE will have 2-4 years post academic, professional, hands on, experience with media/ads background, MMM experience preferred, good communication skills, strong hands on Python/SQL/modeling experience.
Minimum Qualifications
- Bachelors degree in statistics, economics, operations research, engineering, or related field
- 2-4 years post academic experience in MMM, measurement, marketing strategy & analytics.
- Hands on coding skills (Python/SQL) and database knowledge
- Professional experience communicating technical material to a range of audiences and to 'tell a story' that provides insight into the business.
Hands on experience with predictive modeling algorithms
Strong project management skills. Professional post academic experience successfully and continuously managing multiple projects and timelines.
Professional experience and ability to thrive working in a fast-paced agile environment.
A collaborative mindset and sense of curiosity
Preferred Qualifications
PhD or Masters degree in Statistics, Economics, Operations Research, or related field
Experienced in building market mix and multi-touch attribution models
Experience with advertising, measurement, and/or digital marketing analytics
Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
#WMC #datascience #walmartconnect
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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)
Primary Location...
125 S CLARK STREET, CHICAGO, IL 60603-0000, United States of America
