Staff Data Scientist Marketing

4 weeks ago

San Francisco, California, United States Cash App Full time

Job Description

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.

In this role, you'll be embedded in our Marketing organization and work closely with marketers, product management as well as other cross-functional partners to make effective spend decisions across marketing channels, understand the impact of incentives and explore new opportunities to enable Cash App to become the top provider of primary banking services to our customers.

You will :

Build models to optimize our marketing efforts to ensure our spend has the best possible ROI
Design and analyze A/B experiments to evaluate the impact of marketing campaigns we launch
Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders
Partner directly with the Cash App Marketing org to influence their roadmap and define success metrics to understand the impact to business,
Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segments
Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
Write 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 team
Build and share data visualizations and self-serve dashboards for your partners
Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications:
Qualifications

You have :

A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
Experience with scripting and data analysis programming languages, such as Python or R
Worked extensively with Causal Inference techniques and off platform data
A knack for turning ambiguous problems into clear deliverables and actionable insights
Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

Technologies we use and teach :
SQL, Snowflake, etc.
Python (Pandas, Numpy)
Tableau, Airflow, Looker, Mode, Prefect

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.
US and Canada EEOC Statement

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, 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, and always assess candidates on an individualized basis.

We've noticed a rise in recruiting impersonations across the industry, where individuals are sending fake job offer emails. Contact from any of our recruiters or employees will always come from an email address ending with , , , or ,

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.

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