Senior Data Scientist, Growth Product

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. They work across business groups and around the globe spanning time zones and disciplines to develop inclusive People policies forecast finances give legal counsel safeguard systems nurture new initiatives and more. Every challenge creates possibilities and we need different perspectives to see them all. Bring yours to Block.

The Role

The Growth Product Data Science team sits at the heart of Squares seller growth strategy within Blocks broader AI and Data org. We partner deeply with product design and engineering to surface insights design experiments and influence product strategy and roadmap prioritization. We creatively use a diverse set of tactics across the full stack of data tools to foster data-driven decision making. Our work directly impacts seller outcomesfurthering Blocks purpose of economic empowermentwhile contributing to data science excellence and innovation across Block.

Work from anywhere: This role can be performed from any location in the US with the flexibility to work from home

You Will

Analyze large datasets using SQL & scripting languages to surface actionable insights & opportunities to the product team and other stakeholders driving strategy and facilitating decision-making for key business initiatives
Approach problems from first principles using a variety of statistical modeling techniques to research and understand customer behavior and business performance
Design & analyze A/B tests and apply pseudo-experimental methods such as DiD synthetic controls or related causal inference techniques
Build forecast and report on metrics that inform strategy and facilitate decision-making for key business initiatives: visualizing data in self-serve dashboards for your partners
Work with engineers to log new useful data sources as we build new product features
Write code to effectively process cleanse and combine data sources in scaled & useful ways often resulting in curated ETL datasets that are easily used by the broader team
Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Expand your influence in the Block Data Science community by developing and evangelizing data solutions to improve analytics insightfulness and actionability.

You Have

8 years of related experience
Fluency with SQL and Python
Experience using AI tools to automate mundane tasks accelerate development and enhance solutions
Experience with BI tools and data engineering fundamentals
Familiarity with standard machine learning concepts and statistics concepts (including causal inference)
Experience leading cross-functional projects; influencing without authority
Experience working with technical and non-technical partners including engineering product and business teams; particularly strong written communication skills
Comfort with ambiguity and ability to define problems not just solve them

Technologies We Use and Teach

SQL and ETL: Snowflake Airflow Prefect
Data Viz and BI: Looker Tableau Mode Amplitude
ML / Stats: Python (Databricks)
Hypothesis testing: Growthbook LaunchDarkly

Were 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 an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

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 were doing to build a workplace that is fair and square Check out our ID page.

While there is no specific deadline to apply for this role U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Required Experience:

Senior IC

The Role

Work from anywhere: This role can be performed from any location in the US with the flexibility to work from home

You Will

Analyze large datasets using SQL & scripting languages to surface actionable insights & opportunities to the product team and other stakeholders driving strategy and facilitating decision-making for key business initiatives
Approach problems from first principles using a variety of statistical modeling techniques to research and understand customer behavior and business performance
Design & analyze A/B tests and apply pseudo-experimental methods such as DiD synthetic controls or related causal inference techniques
Build forecast and report on metrics that inform strategy and facilitate decision-making for key business initiatives: visualizing data in self-serve dashboards for your partners
Work with engineers to log new useful data sources as we build new product features
Write code to effectively process cleanse and combine data sources in scaled & useful ways often resulting in curated ETL datasets that are easily used by the broader team
Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Expand your influence in the Block Data Science community by developing and evangelizing data solutions to improve analytics insightfulness and actionability.

You Have

8 years of related experience
Fluency with SQL and Python
Experience using AI tools to automate mundane tasks accelerate development and enhance solutions
Experience with BI tools and data engineering fundamentals
Familiarity with standard machine learning concepts and statistics concepts (including causal inference)
Experience leading cross-functional projects; influencing without authority
Experience working with technical and non-technical partners including engineering product and business teams; particularly strong written communication skills
Comfort with ambiguity and ability to define problems not just solve them

Technologies We Use and Teach