Senior Consumer Product Data Scientist

Senior Consumer Product Data Scientist

Company Description

Afterpay is transforming the way we pay by allowing customers to buy products immediately and pay for their purchases over four installments. The service is completely free⁵ for customers who pay on time - helping people spend responsibly. As of December 31, 2021, Afterpay is offered by more than 122,000 of the world’s favorite retailers and more than 19 million active customers have adopted the service.

Afterpay is currently available in Australia, Canada, New Zealand, the United States and the United Kingdom, France, Italy and Spain, where it is known as Clearpay. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is a wholly owned subsidiary of Block, Inc. (NYSE: SQ)g.

Job Description

The Consumer Product Data Science & Machine Learning team in Afterpay is responsible for building data-driven solutions, strategies, in-depth analytics and dashboards in consumer experience in partnership with business stakeholders.

As a Senior Consumer Product Data Scientist at Afterpay, you’ll be responsible for key KPIs for the company's profitability, and customer experience metrics. You will be tasked to set goals and manage through strategy, and close collaboration with product, engineers and business stakeholders. You will Work closely with Data Science and Machine Learning leadership team, global consumer experience product teams and engineering teams to drive the consumer engagement, activities and conversion of Afterpay shop directory ( and mobile app

You will:

  • Actively participate in roadmap and timeline discussions, make decisions that impact timelines and success of important initiatives. Independently lead large, impactful projects that can make or break the team's topline OKRs

  • Conduct analysis and set up reports to provide the insights at scale to meet business growth needs and help our retail partners reach out to millions of Afterpay customers effectively

  • Collaborate and communicate with stakeholders across Product, Engineering, Marketing, Sales and data teams to deliver analytical insights and recommendations

  • Design and execute experiments, publish in-depth and trustworthy result readouts of the new product feature launches and actionable recommendations on continuous product improvements

  • Build data driven optimization models, forecasting models and experiments

  • Provide story-telling with excellent data visualization, and regularly present at a leadership level and to external teams

  • Build the data solutions and data products for the product and engineering innovations, shop directory content management, and growth use cases etc.


You Have:

Like us, you’ll be deeply committed to delivering positive outcomes for customers and passionate about shaping the future of Afterpay. You like to keep it real with your actions, be brave with your decisions, do the right thing for all our stakeholders and shape the future with excitement.

  • A minimum of 5 years experience in quantitative statistics, math, business, or related disciplines, with specific experience in consumer products, e-commerce, fin-tech, search and personalization

  • Experience in data mining and analysis tools such as Python/ SQL etc.

  • Develop broader mathematical toolkit for understanding the business (including fundamental learners, e.g. a decision tree)

  • A strong understanding of modern machine learning techniques (libraries/tools) is advantageous 

  • Drive business decisions through advanced communication and storytelling using data across all organizational levels

  • Ability to do statistical analyses with minimal guidance including descriptive and inferential techniques;Confident with product analytics techniques such as User Profiling, Predictive Modeling, Regression and classification analyses, A/B testing, etc.

  • Work experience with data visualization tools like Tableau, Looker, or Power BI

Additional Information

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.


We want you to be well and thrive. Our global benefits package includes:

  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Wellness perks
  • Paid parental leave
  • Paid time off
  • Learning and Development resources

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

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