United States onlyMeet 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 on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range during the hiring process.
Benefits:
- Medical, dental, and vision coverage starting on Day 1
- Equity (ISOs)
- 401(k) program
- Family planning programs + generous paid parental leave
- Physical fitness and wellness memberships
- Emotional and mental health support programs
- Unlimited PTO + 10 federal holidays + our annual, week-long Winter Break
- Flexible work environment + support for your home office setup
- Lunch and parking reimbursement for in-office employees
- Employee Resource Groups
- Learning and Development opportunities
- Transparent culture
- Amazing mission!
Why Join Upside?
Our mission, values, and dedication to inclusivity guide our team of more than 300 people worldwide, and the quality of our culture is reflected in the impact we’ve had on the people and businesses we work with. But don’t just take our word for it! In 2023, Upside was included as a Top Workplace in the USA, received six Best Places to Work awards from Built In, was named a Top Workplace for Perks & Culture by The Muse, and was listed second year in a row on the Deloitte Fast 500.
At Upside, we believe that diversity drives innovation. Our differences are what make us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here!
Notice To Recruiters And Placement Agencies:
This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.
