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Grainger is looking to develop a deep understanding of customer experience in digital channels through advanced analytics and data science applications to uncover features and functionality that drive value for the business.

Requirements

• Deep knowledge/proficiency in coding for data science and analytics applications (Python or R preferred).
• Deep experience and expertise in statistical modeling and machine learning in-industry (regression, classification, clustering, natural language processing, time-series modeling).
• Knowledge of database design and logic (e.g. Teradata, Snowflake), with demonstrable ability to build complex queries in SQL.
• Proven record of using analytics to solve business problems by developing an analytical approach, identifying necessary data sources, executing the analysis, and tying it to actionable business decisions.
• Preferred experience with digital commerce and web analytics tools such as Adobe Analytics or Google Analytics.

Responsibilities

• Build statistical and machine learning models to uncover insights about digital customer experience. Apply techniques such as clustering, classification, regression, natural language processing and time series modeling.
• Leverage big data from multiple sources to build custom datasets, then visualize patterns, identify trends, and perform feature engineering / variable selection for further analysis.
• Partner with a variety of business stakeholders to analyze opportunities and trends. Lead the process of translating business problems into analytic projects, returning with powerful insights.
• Manage a variety of projects concurrently. Generate project ideas through business observations and interactions with business partners.
• Communicate findings to audiences at all levels, including senior leadership. Tell powerful data stories to make insights clear, influencing company strategy.
• Manage a team of experienced data scientists and analysts to deliver insightful analytics and data science projects. Provide coaching and mentorship to grow technical, analytic, and business skills within the team.
• Function as a subject-matter expert on the analysis of big data. End-to-end expertise required, including dataset building/cleaning/transformation, analysis/model-building, and the presentation of actionable results.

Other

• Masters’ or graduate degree in a quantitative field required (mathematics, statistics, engineering, data science, analytics, operations research, economics, etc.) or equivalent work experience.
• 8+ years’ analytics/data science experience with strong business acumen, preferably with an understanding of online customer behavior in the retail industry. B2B experience is a plus.
• Broad business perspective with a strategic mindset and exceptional problem-solving skill.
• Demonstrated thought leadership and intellectual curiosity.
• Ability to influence decisions without authority.
• 2+ years’ experience as a people leader.
• Excellent written and verbal communication skills, with an emphasis is compelling data storytelling.