(USA) Senior Data Scientist

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, Scala Programming, PyTorch, TensorFlow, Scikit-learn, R Programming, SPARK Programming

Job Description

Sams Media Group is building a robust in-house advertising business that’s key to Sam’s Club’s growth strategy. We partner closely with brands on strategies and solutions that harness omnichannel influence. We deliver relevant retail ads and experiences that connect our customers with the brands and products they love. And we use Sam’s Club proprietary online and in-store data, encompassing tens of millions of American households, to measure campaign-correlated sales on our site and in our stores.

We are seeking a data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc.)

Responsibilities

• Perform hands-on modeling and complex analyses using Python, SQL and/or R
• 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 Marketing leadership and CMO
• Present media mix insights
• 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
• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
• Produce qualitative and quantitative data

Minimum Qualifications

• Bachelors Degree in Statistics, Economics, Operations Research, Engineering, Mathematics, or related field.
• 4+ years of industry experience in data science, measurement, marketing strategy, data analytics.
• Data Science driven consumer insights, shopper insights, marketing insights, market insights; and optimization.
• Strong communication skills to ‘tell a story’ that provides insight into the business
• Coding skills (SQL/Python/R) and database knowledge
• Experience with predictive modeling algorithms
• Project management skills, including managing technical resources and multiple priorities & milestones.
• You have a passion for working in a fast-paced agile environment.
• A collaborative mindset and sense of curiosity

 Preferred Qualifications

• Master's degree in Statistics, Economics, Operations Research, or related field and 2+ years post academic, related professional experience.
• Knowledge and experience in building market mix and multi-touch attribution models
• Knowledge and experience with advertising, measurement, and/or digital marketing analytics
• Programming skills with experience of creating Python modules
• Knowledge and experience with A/B and Multivariate test design and implementation

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

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.

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)