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We are hiring awesome humans, and we hope that includes you!
Are you looking for more than just a job? At Chewy, you’ll find yourself on a career path with other awesome humans, like yourself. You’ll be part of a culture that values everything that you do, who you are, and the goals you have set for your career. We want to give you the opportunity to grow, earn competitive pay, and be happy while you do it. Sounds simple, but we love it.
Our Opportunity:
We are looking for a Senior Data Scientist within Chewy’s quickly growing Customer Service Data Science team. The team uses Statistics, and Machine Learning techniques to understand and serve the needs of our pet parents. Developing data-driven solutions, we are an interdisciplinary team of data scientists who are committed to solving business problems using cutting edge technologies and developing data-driven marketing solutions.
As part of the data science team at Chewy, you will have the opportunity to operate or lead as a full-stack data scientist. In that capacity, you will have the opportunity to design and develop the backend ML frameworks best suited for different business problems, build engineering pipelines to streamline the model development process and launch the decision engines that would help automate the ML-powered business solutions. For such efforts, you will closely work with the data science, ML Operations, analytics, and data engineering teams.
What You’ll Do:
• Focusing on the incrementality and the value-creation in everything you do, you will closely work with the stakeholders within the Customer Service organization. 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.
• 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 methods with simulations. Also, you will use causal inference methods to bring precision and speed in the decision-making process.
• You will be responsible for the full Data Science lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models. In addition, you will periodically develop the model health reports to ensure the integrity of the underlying processes and assumptions.
• Use data to improve how we make decisions and ultimately, enhance customer experience and drive loyalty. You will surface deep insight hidden in our data lakes and provide tactical and strategic guidance on how to act on findings. It will include developing data-science driven customer and contact segmentation.
• Work with the data engineering and cloud 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.)
• Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
• Establish collaborative working relationships at all levels across various functional teams.
What You’ll Need:
• 4+ years of relevant experience as a Data Scientist/Analyst (MS+3 years or PhD in Data Science, Machine Learning, Economics, Statistics, Mathematics, Engineering, or related discipline)
• Demonstrated practical knowledge in the areas of Machine Learning, Deep Learning, experimentation.
• Deep experience in at least one Data Science Subject area (e.g., casual inference, NLP, forecasting, etc.)
• Ability to manage the entire Data Science lifecycle, data prep, exploratory data analysis, modeling, interface with engineering.
• Advanced proficiency in coding and data analysis using Python, SQL, and PySpark.
• Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert stakeholders in a simple and understandable way.
• Experience of translating ambiguous customer requirements into clear problem definitions and delivering them
• Travel may be required
Bonus:
• Experience with Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms
• Experience in object-oriented programming with Python
• Experience with data visualization tools and packages (Tableau or similar)
• E-com, Retail or start up experience
What You’ll Get:
• A place where you can be your authentic self and grow your career. Our pet parents and partners are from everywhere–different places and different walks of life. It is what makes them unique. Likewise, Chewtopians are encouraged to bring their perspectives to deliver on our mission!
• Work in a culture that cares, with managers who value you and your career journey. Be empowered to think big, thrive on delivering results, and to become your best.
• Development of meaningful connections with a diverse group of Chewtopians through Team Member Resource Groups and celebrate inclusivity with various company events, programs, and activities.
• Comprehensive medical, dental, vision benefits, in addition to wellness programs and resources, enabling you to be your best self in and outside of work.
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, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
If you have a question regarding your application, please contact HR@chewy.com.
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