Data Science Manager, Product & CX (12 month FTC)
Depop
Company Description
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at www.depop.com
Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.
If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners.
Key Responsibilities
Strategic collaboration: Partner with the Senior Director of Product (Marketplace) to identify opportunities for shipping, payments, trust and safety and customer experience
Provide analytical leadership within marketplace insights: Provide direction and inspiration for exploratory work—executed either by your team or as your own individual contributor projects (our platform stack is Databricks, DBT, Optimizely, Looker)
Agile resourcing: Step in to fill capacity gaps, especially when product data science teams experience spikes in workload, to unblock critical initiatives.
People management: Lead, mentor, and develop a team of four direct reports, fostering a culture of collaboration, innovation, and analytical excellence.
Knowledge sharing: Contribute to the broader product data science team by sharing best practices and championing high-quality analytics
Requirements
Exemplary problem solving skills, with particular strength in creating meaningful analysis from ambiguous questions
Strong competency in verbal and written communication of results to a wide variety of stakeholder levels
Experience managing teams of 2 to 4 people whilst also contributing as an individual contributor
A high degree of independence and ability to manage upwards to senior stakeholders
Thrives when working across multiple projects
Expertise in SQL and the ability to work with large datasets
Experience in Python and command over ETL scripts
Additional Information
Health + Mental Wellbeing
PMI and cash plan healthcare access with Bupa
Subsidised counselling and coaching with Self Space
Cycle to Work scheme with options from Evans or the Green Commute Initiative
Employee Assistance Programme (EAP) for 24/7 confidential support
Mental Health First Aiders across the business for support and signposting
Work/Life Balance:
25 days annual leave with option to carry over up to 5 days
1 company-wide day off per quarter
Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant
All offices are dog-friendly
Ability to work abroad for 4 weeks per year in UK tax treaty countries
Family Life:
18 weeks of paid parental leave for full-time regular employees
IVF leave, shared parental leave, and paid emergency parent/carer leave
Learn + Grow:
Twice yearly development chats and yearly performance reviews
Learning budget
Upskilling our employees with company wide training workshops, materials and resources
Your Future:
Life Insurance (financial compensation of 3x your salary)
Pension matching up to 6% of qualifying earnings