Data Science Lead, eCommerce - REMOTE

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Data Science Lead, eCommerce, are to: 

• Operationalize AI-ML and Query-based BI Omnichannel Roadmap to support step changes in Modernized Sales and deliver the path to +$10 Million in incremental sales through, (1) Query-based BI on integrated sales datasets and (2) Retail Anomaly Detection and Opportunity Finder;
• Own the implementation of ThoughtSpot and other advanced BI tools for Omni-Channel Analytics in eCom accounts;
• Evolve Omni-Channel Analytics by integrating GTN/Trade Effectiveness and NRM opportunities in a way that creates long-term sustainable competitive advantage;
• Partner with Global NRM team to utilize NRM tools and influence direction;
• Collaborate with NRM Senior Managers to help deliver analytics and insights to drive U.S. enterprise NRM initiatives;
• Conceive and test hypotheses through A/B testing to surface empirical insights;
• Leverage existing (Numerator, Linkfluence) and new digital shopper insights tools to drive a deeper understanding of shopper behaviors and motivations;
• Leverage information and resources to provide value-added learning on trade promotions, pricing, distribution, and digital shelving to key trade accounts, specifically for Joint Business Planning;
• Leverage digital signals to develop war-games, model outcomes powered by AI/ML to predict and monitor BCH omni-channel business performance;
• Manage research quality ensuring that proposed research is conceptually sound and aligned with key objectives;
• Be the liaison with aI’s Human Truths team on our agile research toolkit;
• Act as a strategic partner to the Senior Manager, Omni-Channel Analytics, Amazon and eCommerce teams ensuring high-quality analytical expertise and delivery;
• Develop rigor in the application of methodologies and standards on best practices and establishment of sales-related data governance;
• Be a data steward for eCom-specific data assets, and own data monetization;
• Utilize data in new and unique ways, penetrating beneath the numbers to bring strategic focus, raise questions and best position, grow and develop CH products/businesses;
• Have a role Model BCH Leadership Behaviors, our ONE TEAM leaders are consumer focused and demonstrate deep business acumen and learning agility;
• Drive results through both personal and organizational accountability and are not afraid to challenge the status quo;
• Empower others, provide transparent communication, and deliver honest feedback for continued growth and development.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Bachelor’s degree and at least seven years of experience working with sales business intelligence, shopper research, and syndicated data, with two years focused against Amazon or a "retailer.com" business;
• Exceptional project management and stakeholder engagement skills;
• Build effective teams, cultivate innovation, learning and change agility, customer focus, action oriented/drive results, collaborate globally and locally, plan and align, drive stakeholder engagement, effectively manage suppliers;
• Excellent financial management skills to critically assess strategic goals and cost investments versus results;
• Ability to streamline operational processes;
• Experience in promotion effectiveness and continual improvement on Return of Investment (ROIs);
• Understand the customer and the marketplace;
• Exceptional knowledge of eComm and B&M landscape and how to impact the total market;
• Understand the impact of individual decisions to Bayer’s total business and relevant long-term implications;
• Experience with Amazon and/or retailer.coms;
• Excellent written and oral communication skills;
• Able to deliver clear and concise presentations, actionable direction and work well within a matrixed team environment;
• Proven success with one-on-one customer negotiations;
• Proven ability to develop win-win solutions to complex situations;
• Superior problem solving and critical thinking skills demonstrated through multi-task problem solving and practical judgment;
• Robust analytical capabilities across a variety of data sources and platforms with ability to execute sales planning activities;
• Advanced computer literacy skills, specifically Excel, PowerPoint, Tableau, Query based platforms and BI tools.

Preferred Qualifications:

• Advanced degree/Ph.D. in Data Science;
• Experience with Big Data in an omni-channel setting;
• Sales strategy/operations experience.

Colorado Jobs: employees can expect to be paid a salary of approximately $165,516 (or between $132,400 to $215,200).  Additional compensation may include a bonus or commission (if relevant).  Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. The salary (or range) displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for this role, and may vary based on market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

Entirely remote jobs that could be performed in Colorado: employees can expect to be paid a salary of approximately $165,516 (or between $132,400 to $215,200).  Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc..  This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

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