Data Scientist, Lifecycle Help
- Full-time
Company Description
Job Description
Data Scientists on the Lifecycle Analytics team at Square embed within product teams and leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development. Data Scientists on this team lead experimentation and growth initiatives, help develop automation solutions to personalize product experiences, and drive strategic decisions with data. Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience.
The Lifecycle Help product team focuses on equipping sellers with the information they need to keep their businesses running. This includes improving our Support Center experience, solving new challenges across contact channels, and ensuring the high-availability of the tools our merchants rely on to serve their customers.
You will:
Partner with product stakeholders to make data-driven decisions by leveraging descriptive and predictive analytics where it will have a material impact
Apply a diverse set of tactics including statistics, quantitative reasoning, and machine learning, to solve problems as well as independently research and produce actionable insights
Own, coordinate, and solve complex, cross-functional problems
Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media
Lead the data strategy of Lifecycle Help product engineering, influencing them to make well-informed architecture and design decisions that affect data at Square
Provide comprehensive day-to-day analytics support, develop tools and resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Work with other team members on medium and long-term initiatives that span across product domains
Qualifications
You have:
3+ years of analytics experience or equivalent
Extremely strong 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 a variety of disciplines
Fluency with data, analytics and visualization technologies (We primarily use SQL, Looker, and Python)
Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as predicting churn, cross selling, clustering user archetypes, and more
Familiarity with data warehouse design, development and best practices
Additional Information
Perks
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