Meet Upside:

We created Upside to help communities thrive! Our retail 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 cash back than any other product, and tens 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 local retailers, the consumers they serve, and towards important sustainability initiatives. Our mission, values, and commitment 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 communities nationwide. You’ll join a Team whose experience hails from places such as Google, Uber, Amazon, Instacart, Capital One, and MasterCard with proven startup executives and venture capitalists.

Upside was named #2 on Deloitte's 2021 list of Fastest Growing 500 Tech Companies and  #308 in Inc.’s America’s fastest growing private companies of 2022. Upside’s Series D funding was raised in March 2022 and led by General Catalyst at a $1.5 billion valuation. Other investors include Bessemer Ventures and Formation8.

Meet our Data Team:

The Data Team is a close-knit group of hardworking, fast-learning individuals that believes in our mission to help communities thrive! We believe in a data-driven approach to decision-making and an encouraging culture that emphasizes learning from our mistakes. We debate and deliberate on the best ideas to improve our processes, and strive for an inclusive atmosphere that nurtures the psychological wellness of all of our teammates. We build and productionize data science and machine learning models that are pivotal to the company’s business and mission.

Our technology stack:

• Python / Jupyter / Sagemaker / Personalize
• Snowflake data warehouse on AWS, S3, and Athena
• Looker for visualization and exploration
• Segment / Optimizely for events and A/B testing
• Jenkins / Github / Terraform

About the job:

Our Data Science team is the center of excellence for advanced decision support and developing and deploying machine learning models that drive our core product. We operate as player/coaches, engaging in analysis and R&D, as well as leveling up data literacy with each business unit with whom we partner. Your impact will reach across Finance, Marketing, Operations, Product, Engineering, and Sales as you design experiments, develop prediction models, and perform causal analysis to inform strategy. As the head of the team, you’ll lead and grow the team, and impact the direction and evolution of the data practice and the company as a whole.

What you’ll do:

• Manage an initial team of 5, while actively recruiting to double the team within a year.
• Collaborate with various stakeholders across the company to understand data and modeling needs, set up the team’s priorities to line up with the company’s key objectives, and lead the execution
• Lead technical decisions on experiment design, statistical analysis, modeling methodology etc.
• Communicate technical and quantitative concepts to non-technical audiences, including tying recommendations to business goals and outcomes.

What you need:

• At least 7 years (for Sr. Manager consideration) or 10 years (for Director consideration) of work experience in predictive analytics, data science, Machine Learning, or similar role
• At least 3 years (for Sr. Manager) or 5 years (for Director) of ​team management experience
• A Ph.D. or master's degree in a quantitative field
• Experience in SQL and Python; experience with visualization tools and big data platforms and technologies a plus
• Hands-on and in-depth industry modeling and machine learning experiences in two or more of the following areas:
• Personalization such as for product recommendation, rank order and offer pricing
• Marketing experiment design, decisioning and optimization across channels (e.g. paid search, paid social, organic search, direct mail, radio and TV)
• Transactions and payment fraud detection and risk management
• An ability to simplify complex problems, synthesize data, and create compelling narratives to inform decision making
• Strong analytical and organizational skills, along with strong attention to detail and quality

The fine print:

• Upside employees are currently working from home during the COVID-19 pandemic. Once it's safe to return to the office, this role will sit at our Washington, D.C. headquarters on a hybrid basis.
• Notice to recruiters and placement agencies: This is an in-house search. 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.

At Upside, we believe that diversity drives innovation. Our differences are what makes us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here, come join us!

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