Senior Data Scientist, Commerce Platform - Inventory

Key Skills

Data science techniques, Design, Looker, Machine learning techniques, Python Programming, SQL

Job Description

Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The goal of the Inventory team is to empower sellers to reliably balance supply & demand by accurately tracking and merchandising inventory across all channels and locations. As a member of the Inventory team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive platform experience. While reporting to the Commerce Platform Analytics lead, you will help lead the effort to help define metrics to track progress against organizational goals, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.

You will:

• Partner directly with the Inventory product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impact
• Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights
• Coordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data science
• Communicate analysis and decisions to partners and team leaders in verbal, visual, and written media
• Partner with the broader team to define the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at Square
• Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful

Qualifications

You have:

• 4+ years of analytics and data science experience or equivalent
• Experience building relationships to influence product partners with data
• Experience leading cross-functional projects that depend on the contributions of others in multiple disciplines
• Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypes
• Familiarity with data warehouse design and best practices
• Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)

Nice to have:

• M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)
• Experience working on product & platform initiatives focused on measuring platform success

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900

Zone B: USD $144,500 - USD $176,700

Zone C: USD $136,900 - USD $167,300

Zone D: USD $129,300 - USD $158,100

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Full-time employee benefits include the following:

• Healthcare coverage (Medical, Vision and Dental insurance)
• Health Savings Account and Flexible Spending Account
• Retirement Plans including company match
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
• Paid parental and caregiving leave
• Paid time off (including 12 paid holidays)
• Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
• Learning and Development resources
• Paid Life insurance, AD&D, and disability benefits
• Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources

These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

US and Canada EEOC Statement

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, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.