Senior Data Scientist, Pricing & Promotions

Key Skills

Looker, Python Programming, SQL, Tableau

Job Description

Position Purpose:

As a Data Scientist in the newly created Enterprise Analytics and Data Science team at Petco, you'll work on projects to build Petco’s Omni-channel experience by working on machine learning models in the areas of customer, pricing, inventory, space and assortment. These ML models will help discover insights that drive customer, operational and product strategy for Stores, eCommerce and Services. A majority of your time will be spent working on the following:

Data generation: Use customer interactions in newly created widgets and webpages to build datasets that can be consumed by various models and reports in the company. Analytical modeling: Data modeling, exploratory data analysis, and feature selection using advanced statistical methods and techniques. Model Validation: Calibrating models to provide interpretable and repeatable outputs by using various metrics like ROC, RMSE, quantile loss, etc. Deployment: Model output will be consumed by various teams to create a customer experience that is the best in the industry. Documentation: Clear documentation of the objective, statistical model, and results.

Scope:

Essential Job Functions: The incumbent must be able to perform all of the following duties and responsibilities with or without a reasonable accommodation.

Build, maintain, optimize, and productionize machine learning frameworks to quantify the impact our actions on Petco’s omni-channel business. Create new data pipelines using the latest technologies that seamlessly integrate with multiple databases at Petco. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Identify scalable opportunities by analyzing historical data and collaborate with business stakeholders to assess their impact. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytic capabilities, platforms, and pipelines. Apply statistical or machine learning knowledge to identify and solve specific business problems and data. Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. Utilize code (Python/R/SQL) for data analyzing and modeling algorithms. Conducts tracking and measurement of KPIs related to multiple business areas.

Other Duties and Responsibilities

• Interact professionally and effectively through verbal and written communication with all professional contacts with emphasis on company interests.
• Independently prioritize and accomplish multiple tasks within established timeframes.
• Perform other related duties, tasks and responsibilities as required, assigned and directed.

Education and Experience

• MS/PhD in Statistics, Math, Engineering, Economics or related field
• Previous experience working with Machine Learning/Deep Learning for real world problems is a must
• Must be self-driven and passionate about retail and must be customer centric.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• 3+ years’ experience in business analytics and data science
• Proficient with SQL
• Proficiency with multiple analytics tools required; Python or R strongly preferred
• Hands on experience with BI tools; Tableau /R shiny/Looker
• Ability to explain/present complicated/advanced analytical methodology and results to non-technical audiences
• Excellent communication skills
• Excellent quantitative modeling, statistical analysis skills and problem-solving skills.
• Related experience in a retail organization is a strong plus

Competencies

• Demonstrate Adaptability and Desire to Learn -- Works productively in the face of ambiguity or uncertainty. Demonstrates flexibility and resilience in response to obstacles, constraints, adversity, and mistakes. Constructively and resourcefully adapts to changing needs, conditions, priorities or opportunities. Seeks out opportunities to learn from new discoveries, innovations, ways of looking at things, knowledge, and ideas. Invites and incorporates feedback, without becoming defensive.
• Perform Analysis -- Integrates information from a variety of sources to arrive at a broader understanding of issues (e.g., company reports plus in-store observations).Defines issues clearly despite incomplete or ambiguous information. Identifies the key issues in complex or ambiguous problems. Approaches problems or issues systematically, looking for connections, trends, and potential causes. Probes and looks past symptoms to determine the underlying causes of problems and issues.
• Plan and Execute -- Develops realistic plans (e.g., action steps, timelines) to accomplish objectives. Acquires and leverages resources, processes, and tools to achieve business goals. Prioritizes and balances time, actions, and projects to ensure accomplishment of results. Holds him/herself and team accountable for outcomes (e.g., achieving goals and complying with policies and procedures). Anticipates and addresses obstacles, redirecting efforts to accelerate the work or improve quality.
• Produce Results -- Initiates decisive, timely action to address important issues. Demonstrates a strong sense of ownership and a commitment to achieving meaningful results. Sets challenging, clear goals/targets and expectations for achieving business results. Drives initiatives/efforts to successful completion and closure. Takes personal responsibility to make decisions and take action.
• Good Partner -- Identifies and anticipates customer requirements, expectations, and needs. Seeks feedback from customers to identify improvement opportunities. Follows up with customers to ensure problems are solved. Continually searches for ways to improve customer service (including the removal of barriers, and providing solutions).