Gain a deep understanding of how products and platforms influence user behavior by extracting insights from rich datasets to drive the Creator Studio roadmap.
Apply understanding of advanced machine learning practices to enhance product performance.
Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully.
Partner closely with other data scientists and data engineers to help inform, build and test hypotheses delivering actionable insights to fuel our products.
Define the metrics we use to measure the health of initiatives and track them through dashboards.
Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company who are passionate about our marketplace.
Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
Be an advocate for data-informed decision-making, making recommendations about the product performance and product experience available to the Marketplace organization.
Who you are
4+ years of demonstrated ability in a similar data scientist role.
Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
Significant experience with advanced statistical methods and machine learning.
Significant experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
Previous experience working with a team of data scientists and data engineers building machine learning tools in production and at scale.
You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.
Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
Comfortable working with distributed teams across multiple offices and timezones.