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Senior Data Scientist, Attribution
at Square
7 months ago | 562 views | 1 applications

Senior Data Scientist, Attribution


About the company

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

Job Summary

You will:

📍Spearhead the effort to architect and build the next-generation, data-driven attribution system for Square. This attribution system is a top priority of Square’s GTM effort to optimize investment and drive growth, and will be based on solid scientific methodology that is defensible and explainable 📍Build various attribution models as the building blocks for the next-generation attribution system by utilizing techniques such as MTA (multi-touch attribution), MMM (Marketing Mix Modeling), Incrementality test as well as other emerging technologies 📍Collaborate with MLEs to develop and evaluate advanced MTA by utilizing a combination of first party and third party data 📍Work with data scientists across a wide organization such as marketing, sales, product to design and evaluate attribution models 📍Partner with data engineers to evaluate, improve and potentially revamp existing data pipelines to achieve higher data quality, lower latency and be ready for the next-generation attribution system 📍Take an econometric, holistic view to design and evaluate ROI and marginal ROI metrics that will go hand-in-hand with attribution system to guide Square’s investment to generate best return and fuel growth 📍Collaborate with cross-functional partners. To name a few: finance, marketing, sales, product, seller lifecycle. 📍Research and explore cutting edge methodologies, stay up to date with the latest industry trends and best practices


📍Deep expertise in statistical and machine learning methods for go-to-market attribution and hands-on experience with building end-to-end attribution systems that may include Marketing Mix Modeling (MMM) algorithmic multi-touch attribution (MTA) 📍6+ years of data science experience 📍Thorough understanding of economics in go-to-market including but not limited to incrementality, ROI, marginal ROI, elasticity 📍Expert in variety of go-to-market experimentation techniques 📍Experience in full-funnel marketing: metrics set up, performance evaluation and optimization 📍Advanced proficiency in programming languages such as Python, R, SQL 📍Strong ability to coordinate needs from product, finance, go-to-market to form data and data science strategy and align across the organization 📍Track record of working effectively and efficiently with product partners to plan, deliver and evaluate martech product 📍Demonstrated ability to clean and preprocess data using tools like Pandas, NumPy 📍Proven ability to mentor and coach more junior data scientists 📍Strong communication skills and ability to collaborate with cross-functional teams and proven record to influence business strategy

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