Data Scientist

About the position

As a Data Scientist on our Partner Services Team, you will design and implement high-impact experimentation, price optimization, and product recommendation programs to drive product adoption and revenue growth for our partners. To excel in this role, you'll bring proven experience in ideating growth initiatives and deploying algorithms for real-time product recommendation and pricing. A strong foundation in statistical and machine learning methodologies is essential, along with significant experience working with the intricacies of machine learning systems, beyond just tool application. You'll collaborate closely with internal product growth teams and external partners to ensure the achievement of key revenue growth metrics.

Responsibilities

• Use internal data to formulate and test hypotheses relating to various aspects of business performance.
• Design and implement algorithms to optimize yield, with a special focus on Contextual Bandits for product recommendation and pricing.
• Develop use cases using Large Language Models and multimodal AI tools, with emphasis on model evaluation.
• Identify opportunities to continuously improve systems and processes.
• Research and closely follow emerging trends in applied AI and associated software.
• Define performance metrics and build reports/data pipelines.

Requirements

• 3+ years practical, hands-on experience with various Machine Learning and statistical testing techniques.
• Master's or PhD in Physics, Statistics, Mathematics, Computer Science, or other Quantitative fields.
• Familiarity with contextual bandits and revenue management methodologies.
• Hands-on experience with deep learning models.
• Strong SQL skills.
• Comfortable working in a DevOps environment with a basic understanding of the principles (such as DBT).

Nice-to-haves

• Strong problem-solving skills with a focus on product delivery.
• Exceptional communication, able to explain statistical concepts to diverse audiences.
• A quick learner who embraces new challenges and is not hesitant to push boundaries.

Benefits

• Flexible PTO.
• Employee Stock Options.
• Work with like-minded people who are passionate about both the work we're doing and giving back.
• Social Initiatives.