Data Scientist

Want to help pets live their best lives?

We're proud to be where the pets go and where the pet people go. If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurture your wellbeing, Petco is the place for you .

Our core values capture that spirit as we work to improve lives by doing what's right for pets and people.

• Pet First - Protect & Empower. All pets should Live their Best Life. We put the needs of pets and pet parents at the center of everything we do.
• Foster the Fun - Connect & Bond. Our Passion for pets brings us together! We celebrate the journey of pet parenthood through district experiences, products, and services.
• Let's Go! Own & Commit. We are stronger as One Petco team. We bring our unique superpowers and champion authenticity in everyone to drive success.

About Petco:

We're proud to be "where the pets go" to find everything they need to live their best lives for more than 60 years - from their favorite meals and toys, to trusted supplies and expert support from people who get it, because we live it. We believe in the universal truths of pet parenthood - the boundless boops, missing slippers, late night zoomies and everything in between. And we're here for it. Every tail wag, every vet visit, every step of the way. We are 29,000+ strong and together we nurture the pet-human bond in more than 1,500 Petco stores across the U.S., Mexico and Puerto Rico, 250+ Vetco Total Care hospitals, hundreds of preventive care clinics and eight distribution centers. In 1999, we founded Petco Love. Together, we support thousands of local animal welfare groups nationwide and have helped find homes for approximately 7 million animals through in-store adoption events.

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 Omnichannel 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, operational and interaction data 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.

Essential Job Functions : The incumbent must be able to perform all of the following duties and responsibilities w ith 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. Mentor data scientists and associate data scientists on technique and process

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

• 2+ 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

#LI-MK1

#CORP

For a more detailed overview of Petco Total Rewards, including health and financial benefits, 401K, incentives, and PTO - see

Petco Animal Supplies, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other protected classification.

To translate this webpage to Spanish or other languages on your internet browser, click the translate button to the right of your browser address bar. Additional instructions can be found here: Google Chrome Help .

Para traducir esta pagina web al espanol u otros idiomas en su navegador de Internet, haga clic en el boton de traduccion a la derecha de la barra de direcciones de su navegador. Puede encontrar instrucciones adicionales aqui: Google Chrome Ayuda.

Apply