Senior Data Scientist, Go-to-Market Automation

Key Skills

Design, ETL/ELT technologies, Looker, Python Programming, SQL

Job Description

Our Go-to-Market Automation team builds automation and machine learning solutions to optimize the efficiency and impact of the Sales and Account Management teams. The Data Science and Analytics team leverages business intelligence, engineering, analytics, and data science to maintain and develop a world class suite of data driven solutions that increase the efficiency and intelligence of our Account Managers and Sales Representatives.

As a Lead Data Scientist you will partner closely with Machine Learning, Data Engineering, Business Intelligence, Business Strategy, and Leadership to design and analyze experiments, develop statistical frameworks, and embed data-driven operations across the organization. You will own our experimentation program, testing the impact of third-party data sources, Machine Learning models, updates to internal products, and more to drive business growth. You will apply advanced statistical methods to answer complex business problems and guide decision making across Square’s go-to-market business units.

You will:

• Be the subject matter expert in experimentation for Sales and Account Management
• Deeply understand the Sales and Account Management data ecosystem, and apply data science techniques to support the growth of the organization
• Partner with Machine Learning engineers to support measurement and evaluation of ML models
• Mentor and coach other data scientists and analysts on the team by providing technical guidance on experiments and other analyses
• Act as a trusted advisor to senior leadership on targeting strategy and help define a roadmap that aligns with key business priorities
• Apply descriptive and predictive analytics to help drive insights and business decisions
• Communicate analyses and decisions to high-level stakeholders and executives in verbal, visual, and written formats
• Apply a diverse set of tactics such as causal inference, quantitative reasoning, and machine learning to research and produce insights

Qualifications

You have:

• 8+ years of analytics and data science experience, or 6+ years of experience with an M.S in a quantitative field (computer science, statistics, economics, or similar STEM field)
• Expertise in statistical analysis, hypothesis testing, and experimental design 
• Familiarity with a range of lift and impact methodologies
• Strong project management skills, with the ability to manage multiple projects and priorities in a fast-paced environment.
• Experience using quasi-experimental methods (IV, RDD, DiD, etc…) to estimate causal effects using observational data
• Strong written and verbal communication skills and ability to build relationships and influence across the organization
• Proven ability to facilitate cross-functional projects that depend on the contributions of others in a variety of disciplines
• Fluency with data warehouse design practices, analytics, and visualization technologies (we use SQL, Looker, and Python)
• Familiarity with concepts beyond querying (schema and ETL design, and query optimization)

Nice to have: 

• Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, connect rate
• Experience working with revenue-generating teams such as Sales, Account Management, or Marketing

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 $184,100 - USD $225,000

Zone B: USD $174,900 - USD $213,700

Zone C: USD $165,700 - USD $202,500

Zone D: USD $156,400 - USD $191,200

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 
• Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

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.