Logo of Huzzle

Home

Matches

Explore

Manage

Data Scientist, Go-To-Market (UK)

image

Whatnot

1mo ago

  • Job
    Full-time
    Senior Level
  • Data
  • London

AI generated summary

  • You need 5+ years in Data, 3+ years in analytics for GTM or similar, strong communication, SQL expertise, scripting skills, big data tech familiarity, and experience with BI tools.
  • You will analyze data to improve GTM strategies, create KPIs and dashboards, and provide insights on user behavior and market trends to guide company practices.

Requirements

  • We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Category Expansion, Marketing, and Strategy & Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions enabled by both analysis and self-serve methodologies.
  • You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from metric creation to analytics engineering to forecasting, ideally with previous experience in GTM, marketing, or other high-growth startup environments.
  • In addition to 5+ years of experience in the Data field, you should have:
  • 3+ years of experience in Data Analytics & Science supporting go to market, sales operations, marketing, or consulting/operations roles.
  • Bachelor’s degree in Computer Science, Economics, Statistics, or a related field, or equivalent work experience.
  • Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators.
  • Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.
  • Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
  • Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT.
  • Expert in using SQL for data analysis, reporting, and dashboarding.
  • Experience with a scripting language such as Python or R.
  • Aptitude in time series forecasting, goal setting, and cohort analysis.
  • Aptitude in industry standard sales team tooling such as Salesforce, Hubspot
  • Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks.

Responsibilities

  • Partner closely with GTM and International leads to find improvements & opportunities using data science methodologies and tools.
  • Inform the effectiveness of GTM motions to adapt Whatnot’s strategy and tactics for new markets.
  • Build actionable KPIs, create production-quality dashboards and notebooks to convey insights for strategy and operations
  • Improve roadmaps through analysis of marketplace, user behavior, and industry trends.
  • Define and advance company best practices within a data-informed culture.

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.

Whatnot

Whatnot: Buy, Sell, Go Live

Technology
Industry
201-500
Employees
2019
Founded Year

Mission & Purpose

Whatnot is the largest livestream shopping platform in the U.S., connecting buyers and sellers in real-time across any category – from collectibles like trading cards to comics, fashion, sneakers, and more. Founded by collectors, the platform couples rigorous seller vetting with unmatched buyer protection to create a trusted and welcoming space for people to share their passions with others. Today, Whatnot’s top sellers earn up to eight figures annually using the platform. Backed by Andreessen Horowitz, YC Continuity, and CapitalG, Whatnot’s valuation is $3.7B.