Square Inc.
Senior Data Scientist - Marketing
Square Inc., San Francisco, California, United States, 94199
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.
Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. As a Marketing Data Scientist, you will play a critical role in accelerating Cash App’s growth by creating and improving how we measure the impact of all our marketing efforts.You will :Build models to optimize our marketing efforts to ensure our spend has the best possible ROIDesign and analyze A/B experiments to evaluate the impact of marketing campaigns we launchAnalyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholdersPartner directly with the Cash App Marketing org to influence their roadmap and define success metrics to understand the impact to businessApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segmentsBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your partnersEffectively communicate your work with team leads and cross-functional stakeholders on a regular basisQualifications
You have :A degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant roleAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with scripting and data analysis programming languages, such as Python or RWorked extensively with Causal Inference techniques and off platform dataA knack for turning ambiguous problems into clear deliverables and actionable insightsGone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience working with customer acquisition dataManaged relationships with external vendorsAdditional 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 $257,600Zone B: USD $163,200 - USD $244,800Zone C: USD $154,600 - USD $232,000Zone D: USD $146,000 - USD $219,000Full-time employee benefits include the following:Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company matchEmployee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowancePaid parental and caregiving leavePaid 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 resourcesPaid Life insurance, AD&D, and disability benefitsWe’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.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.
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Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. As a Marketing Data Scientist, you will play a critical role in accelerating Cash App’s growth by creating and improving how we measure the impact of all our marketing efforts.You will :Build models to optimize our marketing efforts to ensure our spend has the best possible ROIDesign and analyze A/B experiments to evaluate the impact of marketing campaigns we launchAnalyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholdersPartner directly with the Cash App Marketing org to influence their roadmap and define success metrics to understand the impact to businessApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segmentsBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your partnersEffectively communicate your work with team leads and cross-functional stakeholders on a regular basisQualifications
You have :A degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant roleAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with scripting and data analysis programming languages, such as Python or RWorked extensively with Causal Inference techniques and off platform dataA knack for turning ambiguous problems into clear deliverables and actionable insightsGone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience working with customer acquisition dataManaged relationships with external vendorsAdditional 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 $257,600Zone B: USD $163,200 - USD $244,800Zone C: USD $154,600 - USD $232,000Zone D: USD $146,000 - USD $219,000Full-time employee benefits include the following:Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company matchEmployee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowancePaid parental and caregiving leavePaid 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 resourcesPaid Life insurance, AD&D, and disability benefitsWe’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.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.
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