FAQs
What is the main responsibility of the Data Scientist in the Go-To-Market team?
The main responsibility of the Data Scientist is to support the Go-To-Market teams by finding improvements and opportunities using data science methodologies and tools, while partnering closely with various teams to inform strategies for scaling account management and marketing efforts.
What are some key tasks that the Data Scientist will perform?
Key tasks include building actionable KPIs, creating production-quality dashboards and notebooks to convey insights, analyzing marketplace and user behavior, and defining best practices within a data-informed culture.
What qualifications are required for this position?
Candidates should have 5+ years of experience in the Data field, with at least 3 years in Data Analytics & Science supporting go-to-market, sales operations, marketing, or consulting roles. A Bachelor’s degree in Computer Science, Economics, Statistics, or a related field is required, or equivalent work experience.
What skills are essential for a successful applicant?
Essential skills include strong critical thinking and analytical abilities, excellent verbal communication, proficiency with data warehouses and big data technologies, expertise in SQL, experience with a scripting language like Python or R, and familiarity with visualization tools.
Is experience in a specific industry required for this role?
While not explicitly stated, industry experience that demonstrates the ability to apply scientific methods to solve real-world problems with large scale data is highly valued.
What tools and technologies should candidates be comfortable using?
Candidates should be comfortable with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, and Spark. Familiarity with tools like Salesforce and Hubspot for sales team operations is also important.
What personal attributes are sought in a candidate for this position?
The ideal candidate should be intellectually curious, highly motivated, and able to work collaboratively across teams in a fast-paced environment.
Will the Data Scientist have the opportunity to lead initiatives?
Yes, the Data Scientist is expected to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
How important is experience with forecasting and cohort analysis for this role?
Aptitude in time series forecasting, goal setting, and cohort analysis is considered essential for the role, as these skills are necessary for analyzing data trends and setting business goals.
What is the overall culture expected in the Data team?
The overall culture is expected to be data-informed, emphasizing collaboration and the utilization of data science methodologies to drive strategic decisions.