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Staff Data Scientist Dashboard Analytics
2 months ago
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 Dashboard Analytics team plays an essential role in optimizing growth and engagement across the Square ecosystem, by conducting experiments on digital surfaces, distilling data into insights, and influencing decisions with actionable recommendations.
Senior Data Scientist in the role will be working with the teams responsible for sellers' onboarding, Dashboard engagement, or Getting support. As a Data Scientist, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive customer experience. You will lead efforts to define metrics that track progress against organizational goals, provide insights to our sellers about their business, and collaborate with a wide range of cross-functional partners to ensure we can drive strategic decisions for our sellers with data.
You will:
Build foundational metrics and KPIs in business intelligence tools (e.g. Looker, Amplitude) to measure the health of our business
Work with the engineering team to implement high quality product event logs
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights
Prioritize rigorously amidst different stakeholders, ensuring your contributions have the most impact on Square's strategic decisions & bottom line
Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media
Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications:
Qualifications
You have:
Experience building relationships to influence product partners with data
Experience leading and participating in cross-functional projects that depend on the contributions of multiple disciplines
Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn and defining frameworks to measure success
Fluency with SQL and Python, and experience with 1+ visualization technologies (we use Looker and Amplitude)
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 $171,800 - USD $257,600
Zone B: USD $163,200 - USD $244,800
Zone C: USD $154,600 - USD $232,000
Zone D: USD $146,000 - USD $219,000
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:
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
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.
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.
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.
While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate.
