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The Sr. Data Scientist will support the Store Operations pillar of the Enterprise Analytics Team. Reporting directly to the internal team of data science managers, we are looking for candidates who understand the foundational aspect of Data Science and will apply Data Science principles and technology to improve member acquisition, engagement, and retention.

Job responsibilities include but are not limited to:

• Under the direct supervision of internal Data Science managers, formulate solutions to problems related to membership acquisition, retention and engagement as well as digital and operations
• Be able to independently frame business problems and decompose their constituent parts to determine proper data science solutioning
• Build machine learning models and use applied statistics (supervised/unsupervised learning, lift modeling, linear/nonlinear programming, feature selection) to support the business
• Enhance existing and build new technology solutions in support of business priorities
• Use proper statistical techniques to provide ad hoc data science/EDA support when needed
• Be a thought partner in the creation of our testing plans and provide next level insights related to the measurement of tests
• Certify all testing/measurement (hypothesis testing, A/B testing, design of experiment, sample size/power calculation)
• Communicate complex data science concepts/insights to non-technical audiences
• Participate in agile work planning—projects will be selected from use cases across the enterprise
• Drive continuous improvement by evaluating and implementing new data science methodologies, tools, and frameworks.

Job Requirements:

• BSc in Computer Science, engineering (or related area), Statistics, Mathematics, or equivalent experience
• Experience in algorithms, data structures, and object-oriented programming
• Experience in developing machine learning models for retail use cases
• Experience in crafting ad hoc data mining analysis for retail use cases
• Experience on engineering and development collaboration tool such as Jira/Confluence/Git
• Experience in mentoring and delegating work to junior analysts, involves providing essential business context, offering guidance on bug fixes, and conducting thorough reviews of their work
• Implementation experience in building machine learning algorithms and applications, deploying and maintaining NLP models for retail use cases
• Experience in time-series forecasting, clustering algorithms, and dimensionality reduction techniques
• Strong programming skills in at least one object-oriented programming language (Python, PySpark, SQL, Java)
• Experience with cluster-computing frameworks (e.g. Spark, Hadoop)
• Expertise in configuring and managing large, complex data pipelines using AWS services (e.g., Glue, SageMaker, Lambda), with experience in GCP/Azure as a plus
• Eager to learn new algorithms, new application areas and new tools
• Experience with engineering and development collaboration tool such as GIT/Jira/Confluence
• Experience using pipeline and automation tool including Jenkins and SageMaker
• Extract actionable insights from complex datasets using data mining, statistics, and database techniques to measure/understand/improve member acquisition/engagement KPIs
• Excellent communication and collaboration skills, working effectively across teams and stakeholders