Search jobs > San Francisco, CA > Staff data scientist

Staff Data Scientist, Dashboard Analytics

Block Communications
San Francisco, CA
Full-time

Company Description

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.

So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff.

Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place.

Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time.

As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

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 :

  • 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 :

  • 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

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.

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.

6 hours ago
Related jobs
Promoted
Pinterest
San Francisco, California

Seasoned professional with over 5 years of extensive hands-on experience in roles such as data scientist, applied scientist, software engineer, or ML engineer within the realm of machine learning. We are seeking a talented and experienced Data Scientist to join our team and contribute to the enhance...

Square
San Francisco, California
Remote

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. The Dashboard Analytics team plays an essential role i...

Promoted
Pinterest
San Francisco, California

We are looking for a Staff Data Scientist to help advance Signals at Pinterest. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. Ability...

Square
San Francisco, California

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. The Dashboard Analytics team plays an essential role i...

Crunchbase
California, United States

The team is composed of Data Scientists, Machine Learning Engineers, Data Engineers working together to deliver models and services into production. We are hiring a hands-on Staff Data Scientist to help shape and build out the intelligence layer for Crunchbase signals products. By combining Crunchba...

PlayStation
San Mateo, California

Staff Marketing Data Scientist . Minimum of 12 years of hands-on experience in data science or analytics roles, with a focus on marketing analytics. Proficiency in extracting large datasets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred). Proficient in using...

Karkidi
San Francisco, California

As a Data Scientist working on the Account Integrity team, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operational partners as you drive ideation, scoping, iteration, and execution of data-driven modeling/ML solutions. Our data scienc...

Mediabistro
San Francisco, California

Senior Staff Data Scientist - Activision Blizzard Media. Activision Blizzard Media is seeking a passionate Data Scientist interested in pushing the boundaries of mobile games analytics and advertising product performance. A/B tests, strange player behaviour, complex interaction dynamics, etcExperien...

Intelliswift Software
San Francisco, California

Title - Product Analytics/Scientist. High-growth analytics or operations experience Ï Create dashboards in power b/Amplitude. Experience in analytics, business intelligence, data engineering, or a similar role. Own data analysis, visualization and communicate the outcomes/insights to various stakeho...

SoFi
San Francisco, California

SoFi’s Data Science team is seeking an experienced Senior Staff Data Scientist to help lead our machine learning efforts. Proficiency in data manipulation and analysis using SQL and data visualization tools. Ability to lead and mentor junior data scientists and engineers. The ideal candidate has a d...