Data Science Product Lead - HelloFresh

We’re hiring a Staff Product Manager for the Marketing Analytics Team. This role is responsible for developing, planning and delivering on a roadmap of analytics solutions and data products for our marketing operations in North America.  We Consider this role as a key leader in the marketing and marketing technology space.  As the successful candidate, you will develop a vision for what analytics solutions are needed to achieve long term marketing and business objectives. You will align and get buy for their vision across marketing stakeholders, our technology organization and the broader community of science leaders across HelloFresh. You will then work across internal teams to execute on that vision and drive adoption for the solutions that are developed. You will work across different parts of our analytics organization (data science, business intelligence, data engineering, artificial 
intelligence, etc.) and prepare to become a future senior leader in our marketing organization. In this role you will develop advanced data driven solutions that fuel our campaigns and initiatives across several marketing teams (e.g. Growth, Customer Acquisition, Retention and Reactivation) with the goal to unlock new opportunities. You will be the owner and leader of several initiatives across analytics, marketing and technology and work cross functionally on execution. You’ll work with senior leaders across levels in the Marketing, Product, Pricing, Analytics, Finance, Tech and Reactivation teams.  This role can be based in NYC, or Toronto, Ontario

● Be a hands-on data driven analytics innovator.
● Identify new opportunities to build data product solutions that have high business 
impact
● Drive and evolve a vision for a suite of data products with long-term implication
● Identify dependencies, map out plans across teams and build detailed roadmaps
● Work across several disciplines (science, BI, data engineering, marketing) and 
influence direction without authority
● Influence senior leadership in making long-term investments on analytics solutions

● 5 years of relevant work experience in data driven product/program management, 
analytics or machine learning. 3+ years in role with exposure to business 
stakeholders and technical stakeholders in a data-centric environment (e.g., product 
management, management consulting, etc.).
● Experience developing data science models preferred
● A track record in driving results in complex technology environments
● Ability to make decisions based on data, but also make the right judgment calls when
data is not (yet) available
● Outstanding written and verbal communication skills with a proven ability to lead 
effective meetings.
● Outstanding experience to work in a data driven environment and deduct and verify 
strategies based on data.
● A pragmatic, hands-on mentality to drive towards impact
● The ability to ruthlessly prioritize and not believe that a lot can do the job, but with 
the right priorities we can achieve more.
● Proven to be a strong collaborator who can work effectively within a cross-functional 
organization to influence and drive results
● Ability to identify better ways of working at scale through building new mechanisms 
and processes
● Willingness to take bold bets to succeed - but at the same time are open to fail to 
learn from these failures to achieve even more in the future.
● Track record of working with technical teams to achieve big results.

● The most exciting job in the food and ecommerce space
● Competitive Salary & 401k company match that vests immediately upon 
participation
● Generous parental leave of 16 weeks & PTO policy
● $0 monthly premium and other flexible health plans effective first day of 
employment
● 75% discount on your subscription to HelloFresh (as well as other product 
initiatives)
● Collaborative, dynamic work environment within a fast-paced, mission-driven 
company
 
This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.