Senior Product Data Scientist, Search

Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.

Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.

Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are. 

Job Description

We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.

This role is part of our Cash App’s Product Data science org and will be deeply embedded within our Search & Discovery team. You will use data science to better understand our customers and offer them delightful experiences to find and discover people and things quickly and with trust - we aim to grow and strengthen the connections between people and businesses across the globe. Through your work, you will empower Cash App to personalize customers’ search and discovery experiences with DS/ML, to better understand customers’ journeys, and help identify and execute on new opportunities for product improvement. You will test and employ a variety of analytical and modeling techniques on our comprehensive data and scale your solution to production by partnering closely with machine learning, product, design, and engineering teams. 

Qualifications

You will:

• Partner directly with a Cash App product team, working closely with product managers, engineers, designers, and machine learning engineers
• Analyze large datasets using SQL and python to surface meaningful & actionable insights/opportunities to the product team and other key stakeholders
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
• Design and analyze A/B experiments to evaluate the impact of changes we make to the product
• Work with engineers to log new, useful data sources as we build new product features
• Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
• Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
• Build and share data visualizations and self-serve dashboards for your product team
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Additional Information

You have:

• A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role OR
• A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role
• Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
• Experience with scripting and data analysis programming languages, preferably Python 
• Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
• Experience with state of the art machine learning techniques such as regression, classification, recommendation system, and causal inference
• Experience with ElasticSearch
• Experience in a high-growth tech environment
• An appreciation for the connection between your work and the experience it delivers to customers
• Intellectual curiosity and a passion for what Cash App is building
   

Technologies we use and teach:

• SQL (MySQL, Snowflake, BigQuery, etc.)
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker

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