Senior Data Scientist, Point of Sales Ecosystem

Full time

Employment Information

Job levelSenior level

Salary$153 088 - $169 000

IndustrySoftware Development

Experience4+ years

LocationRemote, United States

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Job Description

The XPOS team at Square is focused on building an ecosystem of point-of-sale (POS) apps that feels cohesive to sellers, regardless of where they start. As a member of the XPOS data science team, you will play a critical role in enhancing our understanding of the XPOS app ecosystem and using data to drive decision-making throughout the product development lifecycle. You will report to the XPOS DS lead, and partner with product, engineering, marketing and other cross-functional stakeholders to help lead the effort to define metrics to track progress against organizational goals, develop solutions to personalize product experiences, and provide insights and drive strategic decisions with data.

You will:

Partner directly with the XPOS product team to identify opportunities for using data to drive business outcomes and guide product development decisions
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 high-level partners and executives in verbal, visual, and written media
Continuously improve data quality and accessibility, and work with data engineering teams to optimize data pipelines and storage
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 leading cross-functional projects and partnering with Product/Engineering/Marketing/Design on strategy and prioritization;
Strong experience in data analysis, statistical modeling, and machine learning, with a focus on applying these skills to solve business problems.
Familiarity with data engineering 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