Data Scientist, Communications Platform Growth
- San Francisco, CA
- Employees can work remotely
Data Scientists on the Communications Platform Growth team leverage analytics, machine learning, and data engineering to empower data-driven decision-making in campaign strategy development for our product marketers and product development for our Automation teams. This team builds platform tools to enable stakeholders to grow and retain customer bases, leads experimentation and growth initiatives, collaborates with product teams to optimize and automate communication solutions, and drives strategic decisions with data. Your role will be a hybrid of traditional roles in product analytics, product marketing, and business intelligence. You will need to summarize trends and insights through the vast amount of data captured by Square, and develop applicable strategies to grow Squares sellers and their engagement with Square products through the platform.
Leverage descriptive and predictive analytics to understand the impact of Square-owned growth and retention channels
Partner with Automation team members to make data-driven decisions across the organization
Partner with Square’s product marketing teams to guide the design and implementation of Square’s scaled cross-sell and engagement strategies
Apply a diverse set of tactics including statistics, quantitative reasoning, and machine learning to produce applicable insights
Create campaign targeting strategies, design experiments, and publish results and best practices
Develop data marts, dashboards, reports, and deep-dive analyses to inform the ongoing launch and optimization of marketing channels
Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science
Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media
3+ years of data science experience or equivalent
Fluency in languages used for querying (e.g. SQL) and statistical analysis (e.g. R/Python)
Solid written and verbal communication skills and ability to build strong relationships and influence with product partners
Proven ability to lead cross-functional projects that depend on the contributions of others in multiple disciplines
Experience applying machine-learning techniques to solve practical problems such as predicting churn, cross selling, clustering user archetypes, and more
Strong business acumen and ability to translate business challenges into hypothesis testing and deep dive analysis
Familiarity with data warehouse design, development, and best practices
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. Square 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.
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.
At Square, 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
Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.