Data Scientist
Data Scientist
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Job Description
Meet Upside:
We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retailprofit measurement attribution and incrementalityto provide users with more value on their everyday purchases and brick-and-mortar businesses with new profitable customers. Weve 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 Youll Make:
Youll work with peers who have experience developing ML models designed for production with the support of a dedicated engineering team. Youll 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 companys revenue by innovating on our offer pricing and recommendation systems. We foster a collaborative environment where youll have ownership of your modeling efforts and actively participate in project creation and planning.
Responsibilities
Own the entire machine learning lifecycle from framing ambiguous business problems to delivering measurable impact in production
Dig into complex data to design run and refine analyses through well-structured performant SQL
Engineer validate and deploy real-time ML modelsincluding building the data pipelines writing production inference code and monitoring model performance
Design and execute experiments to measure business impact troubleshoot unexpected outcomes and iterate quickly
Effectively translate results of experiments and analyses into actionable insights for stakeholders and leadership with a variety of technical backgrounds
What You Should Have:
Masters degree or Ph.D. in Statistics Data Science Economics Physics or a related technical field or 4 years of experience as a data scientist or advanced analytics role
Proven track record framing open-ended problems conducting analyses and producing data-driven recommendations
SQL mastery experience working with large data-sets on the cloud a plus
Proficiency in Python and statistical and machine learning libraries (e.g. scikit-learn statsmodels xgboost)
Comfort with ambiguity and constraints you thrive in situations with incomplete specs evolving requirements and operational challenges and can deliver high-quality solutions despite them
Nice to Have:
End-to-end ML Ops experience including building live feature-stores writing production-ready inference code or a strong desire to learn these skills
Experience with data warehouse and cloud environments (i.e. Snowflake and AWS)
Experience with building recommendation pricing models and causal inference
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 GSheets
ML Ops platform: JFrog ML
Location:
This hybrid role is based in our Austin Chicago New York or Washington DC -office attendance is required on Monday Tuesday and Thursday and may increase based on project-based needs and changes to Upsides in-office policy over time.
Compensation:
The US base salary range for this full-time position is $140000 - $180000 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 paid parental leave
Physical fitness and wellness memberships
Emotional and mental health support programs
Unlimited PTO 10 paid federal holidays our annual week-long Winter Break
Flexible work environment
Lunch reimbursement for in-office employees
Employee Resource Groups
Learning and Development stipend
Transparent culture
Amazing mission!
Diversity and Inclusion:
Diversity drives innovation and our differences make us stronger. Were 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!
If theres anything we can do to support a disability or special need during your application or interview process please email
This email is for accessibility accommodations only it should not be used to submit job applications.
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.
Employment Type
Full-Time
