Data Scientist
As part of the Strategy team, Data Scientists are tasked with formulating the analytical frameworks and providing the technical rigor to drive pivotal business decisions. You’ll work closely with key stakeholders throughout the organization to identify the fundamental questions we need to ask and have ownership over providing data-driven means of addressing them.
Depending on your area of focus, challenges you may tackle in a typical day include:
- Understanding the drivers of progression through the product funnel and identifying potential interventions to increase conversion
- Modeling how advertising across different media channels interacts to impact consumer choice; providing recommendations to optimize marketing spend based on these findings
- Building structured data models to effectively frame key business concepts and enable efficient analysis
- Working with Product Managers to design, implement, and analyze the results of Bayesian A/B tests to optimize the product for a superior user experience
- Forecasting demand for customer service using time-series regression analysis
- Modeling drivers of customer retention using survival analysis utilizing the latest econometric/ML techniques
- Using Bayesian structural time series models to understand the efficacy of targeted marketing interventions; generating an automated method for communicating the findings
- Understanding the drivers of success for small businesses on the platform to better provide them with the tools to be successful
- Leading an effort to accurately define a customer’s location
We are seeking multiple Data Scientists who demonstrate sharp intellectual curiosity, data fluency, and a collaborative work ethic. These roles report to an Analytics team lead in New York.
RESPONSIBILITIES
- Empower data-driven decision-making across the org by defining analytical frameworks to guide key business decisions; develop and maintain dashboards to provide visibility into relevant metrics
- Surface insights from terabytes of proprietary user, product, and marketing data; communicate compelling recommendations to key stakeholders
- Formulate innovative hypotheses; design and implement rigorous methodologies for testing them
- Utilize cutting-edge statistical/machine learning techniques to build models furthering the org’s understanding of and ability to predict consumer behavior
- Continuously get better - seek out opportunities to further develop your analytical, engineering, statistical, etc. toolkit
QUALIFICATIONS
- 2+ years of relevant analytical experience working with data
- Competency with both SQL and a scripting language (Python preferred); strong competency with at least one of them
- Experience with statistical and/or ML modeling techniques
- Ability to communicate effectively with wide-range of audiences
- Comfort working on open-ended problems with minimal guidance
- Strong data intuition and ability to think probabilistically
- Ability to devise data-driven solutions to business problems
- A plus: Experience with large scale data processing tools (Apache Spark or Hadoop) or implementing systems in production at scale
ABOUT SQUARESPACE
Squarespace makes beautiful products to help people with creative ideas succeed. By blending elegant design and sophisticated engineering, we empower millions of people — from individuals and local artists to entrepreneurs shaping the world’s most iconic businesses — to share their stories with the world. Squarespace’s team of more than 570 is headquartered in downtown New York City, with offices in Dublin and Portland. For more information, visit www.squarespace.com/about.
PERKS
- Health insurance with 100% premium covered
- Flexible vacation & paid time off
- Equity plan
- 401(k) plan with employer match
- Free lunch and snacks
- Dog-friendly workplace
- And more
Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customer base, but we also strive for the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.