Our Opportunity:

We are looking for a Principal Data Scientist to join the Marketing Science team at Chewy. The marketing team uses business economics, statistics, and machine learning to understand and serve the needs of our pet parents. We are an interdisciplinary team of scientists and engineers committed to solving business problems using cutting-edge technologies and developing data-driven marketing solutions. This senior position will have exposure across the entire business, influencing the vision and implementation of marketing strategies for customer acquisition and development and marketing measurement. 

As part of the growing data science team within the broader Marketing Product, Science, and Tech team at Chewy, you will have the opportunity to provide structure to the business problems for all things marketing and existing Chewy customers. The role will span many areas, including modeling the customer lifecycle (Acquisition, Retention, Reactivation), measurement using advanced causal inference techniques, and business economics (Spend Optimization, Budgeting, and Planning). As a senior team member, you will have the opportunity to develop the frameworks and roadmaps to solve these problems efficiently, work with the stakeholders to align on priorities and work within the team to build the best-fitted data-driven solutions. These solutions will include (but will not be limited to) using statistical techniques to design experiments, measuring the long-term impact of those experiments, developing state-of-the-art ML-driven solutions, building optimization frameworks, etc. 

In this role, you will also closely work with the team of data engineers, product management, and software developers to build the backend for ML frameworks and automate those solutions. 

What You'll Do:

• Be a technical and thought leader among your data science and engineering colleagues to drive the best practices in developing, testing, and producing models at scale.
• Establish strong working relationships at all organizational levels across different functional teams.
• Focusing on the incrementality and the value-creation in everything you do, you will closely work with the marketing and merch category teams (Consumables, Hardgoods, Healthcare, etc.). You will transform their ideas, preliminary findings, or analyses, whenever applicable, into machine learning-driven business strategies, programs, and actions that would help drive the core objectives. 
• For such transformations, you will guide the teams with the design of experiments, measurements, analyses, and recommendations. As a data scientist, you will be responsible for making recommendations for experimentation and measurement by researching state-of-art methods examining, and tuning the current techniques with simulations. 
• You will lead efforts in media mix modeling, cross-channel spend optimization, multi-touch attribution, propensity, net lift, causal inference, structural equation modeling, etc. For such models, you will be responsible for the entire Data Science lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models. 
• You will ideate, architect, and build the technical platforms for our algorithmic engines, such as Targeting, Spend, and Product Optimization.
• You will work with the data engineering teams to develop the automated pipelines to perform different stages of the model life cycle (data collection and cleaning, model development and validation, model deployment and scoring, periodic validation and refitting, etc.)

What You'll Need:

• Graduate degree (MS/Ph.D.) in Computer Science, Economics, Statistics, Mathematics, Engineering, or highly related quantitative discipline with 7+ (8 for MS) years of working experience in the industry, consulting, or agency
• Demonstrated knowledge and hands-on expertise in causal inference.  
• In addition to model development, experience in managing the model life cycle and partnering with the ML engineering and product teams to scale the efforts.
• Proven experience in the design and execution of analytical projects through structural thinking in ambiguous problem spaces
• Working knowledge of AWS data toolset (Glue, Athena, Sagemaker, Redshift, etc.) or similar cloud computing provider (Azure, Google). 
• Excellent verbal and written communication skills. Able to explain details of complex concepts to non-expert stakeholders in a simple, understandable way
• Preferably experience of working in cross-channel spend optimization, budgeting, marketing attribution, CRM data science, and LTV management.
• Preferably experience of working in the e-commerce industry

Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.
If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact [email protected]. 
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