Senior Data Scientist (Product Analytics)

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 out more at

Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome no matter who they are or where theyre 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. Were 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. Were 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 . For any other non-disability related questions please reach out to our Talent Partners.

Were looking for a Senior Product Data Scientist to join our Insights team. Youll partner closely with product engineering and machine learning to deliver insights drive experimentation and shape the future of Depops product ecosystem.

This role sits at the intersection of technical excellence and strategic impact. You will not only dive deep into data pipelines and experimentation frameworks but also influence product direction user experience and commercial outcomes.

What Youll Do:

Lead analytics and technical discovery for a core product area:

Partner with product managers engineers and ML scientists to explore opportunities through advanced analytics. Youll apply analytical methods (e.g. statistical methods) and work with ML practitioners to assess algorithmic impact define success metrics and shape product direction with a strong technical foundation.

Influence product and business strategy:

Provide a strategic lens to product thinkingconnecting your domain insights and helping the product team ladder up to company-wide goals. Be a thought partner and challenge assumptions raise the quality of decision-making and help drive a culture of evidence-based thinking.

Design and run experiments:

Define hypotheses implement A/B tests and rigorously evaluate impact with deep dives and customer behaviour insights to inform roll out decisions and future product development.

Work together with other teams to enable self-serve data driven decision making:

Collaborate with product platform and data teams to ensure scalable accurate datasets for analysis. Develop dashboards and reporting that drive awareness and actionable insights.

What Were Looking For:

• Strong SQL skills and experience querying large complex datasets

• Proficiency in Python with experience in advanced analytics techniques analyzing model outputs or supporting ML evaluation workflows

• Familiarity with ETL workflows and debugging data issues

• Proven experience with A/B testing design and interpretation

• Hands-on experience with visualisation tools (Looker Tableau or similar)

• Excellent communication skillsable to explain complex topics clearly and persuasively

• Commercial mindset with the ability to balance user and business needs

• Strong sense of ownership highly organised and proactive

• Comfortable working across ambiguity and fast-changing environments

Bonus Points:

• Experience in C2C marketplaces or mobile-first consumer products

• Experience working alongside machine learning teams or embedding data science in ML-powered product discovery

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

• Impact hours: Up to 2 days additional paid leave per year for volunteering

• Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop to give you a chance to recharge or do something you love.

• 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:

• Budgets for conferences learning subscriptions and more

• Mentorship and programmes to upskill employees

Your Future:

• Life Insurance (financial compensation of 3x your salary)

• Pension matching up to 6% of qualifying earnings

Depop Extras:

• Employees enjoy free shipping on their Depop sales within the UK.

• Special milestones are celebrated with gifts and rewards!