Sr Data Scientist

Meet Upside:

We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives.

The Impact You’ll Make:

You’ll work with peers who have experience developing ML models designed for production with the support of a dedicated engineering team. You’ll align closely with analysts, stakeholders, and data engineers across the company to define solutions to pressing problems. Your work will directly and measurably impact the company’s revenue by innovating on our pricing and recommendation systems. We foster a collaborative environment where you’ll have ownership of your modeling efforts and actively participate in project creation and planning.

Responsibilities

• Partner with stakeholders to translate business problems into actionable machine learning solutions
• Develop data pipelines to ensure a steady flow of high-quality data for model training
• Write clean, production-ready code to integrate your models into our platform, benefiting from the support of a skilled engineering team
• Design and conduct experiments to evaluate your models' performance and effectively communicate the results to senior leadership

What You Should Have:

• Master's degree or Ph.D. in Statistics, Data Science, Economics, Physics, or a related technical field
• 4+ years of experience as a data scientist or machine learning engineer
• Proven track record of deploying machine learning models to production environments (or strong interest in learning)
• Strong proficiency in Python and machine learning libraries (e.g., scikit-learn, statsmodels)
• Experience working with SQL and cloud platforms (e.g., AWS) is a plus

Tools We Use:

• Programming language: Python
• Data tools: dbt, SQL, Snowflake
• Cloud platform: AWS
• Version control: Git
• Machine learning libraries: scikit-learn, statsmodels, etc.
• Data exploration and visualization: Jupyter, Hex

Location:

This is a fully remote role that may work anywhere in the United States. You’re still welcome to work from our DC, NYC, Austin, or Chicago office if you’re in-region!

Compensation:

The US base salary range for this full-time position is $145,000 - $200,000 + bonus (for certain roles) + equity + benefits. The final starting pay will be determined based …