Senior Data Scientist
April 5
Description
• Optimize to continuous product feedback loops - you understand that data science is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. • Create customer segmentation and conversion propensity models that will help us understand the best ways to serve different types of users and convert them into affiliate products and services. • Help develop the next version of Autopilot and Budgets. Ensure members have money in the right place at the right time for their near and long term goals. Warn them when they do not. • Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data to better deliver personalized product experiences and power ever more accurate customer segmentation, propensity, and ad targeting models. • Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing. • Work alongside our product and marketing teams to understand our members’ product usage, predict our customers’ lifetime value, and estimate user retention. • In collaboration with engineering, product, and design teams, work to implement new user-facing features and experiences. Use your expertise in ML system and model design to delight our customers with new user experiences.
Requirements
• You are a team player - collaboration and communication are a first instinct and key tool for getting stuff done. You continually seek feedback on your work. • You know how to work at a strategic level - you can collaborate with stakeholders to define new projects and initiatives for yourself and others. • Excellent writing, presentation, and communication skills. Documenting, recruiting for feedback and securing alignment among stakeholders is second nature. • You have 6+ years of professional experience working in a data science capacity. You know your way around databases, data warehouses, and at least one programming language. You are equally adept at hacking together proof of concepts and working with engineering teams to build scalable, durable systems. • You embrace the player/coach mindset. You take care to mentor and develop others when leading projects. You’ve helped junior data scientists grow in their careers. • You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert business analyst when necessary. • Deep experience in one or more of the following in a professional capacity: customer modeling/segmentation, time series modeling, natural language processing and classification, design of experiments, machine learning applied to consumer products, building generative AI applications in consumer software. • You find yourself building tools to help others solve their problems and follow a philosophy of continuous improvement and automation. • You want to continue to grow and learn. You are excited by hard problems and big challenges. • Experience in fintech, banking, or finance is a plus.
Benefits
• Health, Dental & Vision Plans • Competitive Pay
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