Data Scientist

Peak 21
London
11 months ago
Applications closed

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Data Scientist

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Data Scientist Placement

At Peak21, we specialize in acquiring large direct-to-consumer (D2C) brands across the United States, Europe, and Asia, in addition to incubating our own. With a portfolio of D2C brands generating $200 million in sales, all bootstrapped and profitable, we are dedicated to fostering growth and innovation in the D2C sector. We are currently seeking a Data Scientist to join our dynamic team.

This position is full-time in our London office.

What makes this an exciting opportunity?

  • Opportunity to join a well-funded startup with top-tier investors
  • Work with a highly experienced and entrepreneurial team
  • Competitive compensation package

What You'll Do:

  • Consult with management and relevant stakeholders to define goals for business intelligence
  • Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for brands to support their strategies in merchandising, PPC, CRM, influencer marketing, and others
  • Own and manage the data landscape for use in our reporting, including sales data, marketing spend (for various e-commerce companies)
  • Oversee development of dashboards and report creation
  • Support users in using dashboards and reports
  • Review and validate data and maintain data sources
  • Communicate insights to senior management and across the organization
  • Analyze and synthesize data; report back findings with recommendations
  • Oversee team of analysts

Who You Are:

  • You have multiple years of professional experience as a Data Scientist. Ideal candidates come from rigorous fields like management consulting and investment banking
  • You have a Master's degree or above in a relevant field like Economics, Engineering, Computer Science, Machine Learning, Artificial Intelligence, or others
  • Experience programming for data analysis
  • Extreme rigor when it comes to solving problems and data analysis
  • Able to handle large amounts of data
  • Strong attention to detail
  • Fluent English speaker
  • Excellent communication skills
  • Able to work in a fast-paced environment

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