Our Opportunity:
The CFO organization at Chewy is undergoing a data-driven transformation to enhance financial operations and decision-making! As a Finance Analytics and ML Engineer, you'll leverage advanced machine learning, large language models (LLMs), and AI to revolutionize forecasting, variance analysis, and financial data interpretation.
This role blends deep technical skills with financial acumen, enabling you to design intelligent systems that automate financial processes, detect anomalies, and explain variances between forecasted and actual outcomes. You'll work closely with finance stakeholders, data engineers, and AI teams to extract insights from structured and unstructured financial data in Snowflake and other enterprise platforms.
With a focus on predictive analytics and generative AI applications, you'll play a pivotal role in shaping how Chewy's CFO organization understands and navigates financial performance.
What you'll do:
- Apply LLMs and generative AI techniques to enhance financial narrative generation, automate commentary for forecast variances, and surface contextual insights from structured and unstructured data.
- Build machine learning models to forecast key financial metrics, detect outliers, and support decision-making at scale.
- Create models and tools that explain the "why" behind mismatches in actuals vs. forecasts, empowering finance partners to take data-informed action.
- Develop and optimize data pipelines to transform Snowflake-based financial data into high-quality features for ML and AI applications.
- Partner with FP&A, Controllership, and other finance functions to capture requirements and ensure data products meet business needs.
- Ensure data quality, security, and governance practices are embedded into all engineering work.
- Continuously evaluate and incorporate new technologies to improve the automation, scalability, and performance of finance data systems.
What You'll Need
- Bachelor's degree in computer science, Engineering, or related field (Master's preferred).
- 3+ years of experience in data engineering, with at least 1-2 years supporting machine learning applications.
- Proficiency with Python, SQL, and distributed data processing frameworks (e.g., Spark, dbt, Airflow).
- Experience working with cloud platforms (AWS, Azure, or GCP) and modern data warehouses (e.g., Snowflake, BigQuery).
- Familiarity with ML lifecycle tools (e.g., MLflow, SageMaker).
- A strong understanding of financial data, planning cycles, and forecasting processes is a plus.
- Excellent communication skills and the ability to translate technical insights into business value.
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 [email protected].
If you have a question regarding your application, please contact [email protected].
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Top Skills
What We Do
We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.
Our culture is for those who thrive on delivering results and becoming your best—no matter your role or location. At Chewy, our Operating Principles serve as a common language, or framework, that connects two of Chewy's most valuable elements—our people and our culture. The Operating Principles guide our character, capabilities, imagination, and methods for execution in support of our company's mission.
Why Work With Us
We're proud to be one of the fastest growing e-commerce companies of all time.
With growth comes the exciting opportunity to be a part of a world-class organization of engineering, product, and design team members, responsible for driving our latest innovations and designing "out-of-the Chewy box" experiences.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.