Staff Data Scientist Dashboard Analytics

Job Description

Learn more about the general tasks related to this opportunity below, as well as required skills.

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.

As a Senior Data Scientist, you will work with the teams responsible for sellers' onboarding, Dashboard engagement, or Getting support.

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 :

• Partner directly with the Dashboard team to make data-driven decisions by applying descriptive and predictive analytics where it will have a material impact.
• 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 : You have :

You have :

• 5+ years of analytics and data science experience or equivalent.
• 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 :

• 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.

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.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Because the material duties of this role involve direct or indirect access to sensitive personal or financial data, a criminal background check is required following a contingent offer of employment.

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.

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.

J-18808-Ljbffr