Jobs Companies Etsy Product Data Scientist

À propos de ce poste Product Data Scientist chez Etsy

Etsy · Hybride · London, UK

Company Description

Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.

Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.

Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com

We aim 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.

AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.

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 [email protected].

We’re looking for a Product Data Scientist to join our Insights team to support our Shipping Team. You’ll partner closely with product, operations, engineering, and machine learning to deliver insights, drive experimentation, and shape how every item moves from seller to buyer.

This role sits at the intersection of technical depth and strategic impact. You’ll dive into data, pipelines and experimentation frameworks whilst helping shape shipping strategy, product direction and commercial outcomes. 

What You’ll Do

Influence product and business strategy

Shipping is full of big, open-ended problems. You’ll pin down the right question, then work with the team to shape an answer they can act on. You’ll help to inform our shipping strategy by connecting your analyses to broader company goals, helping the product team understand trade-offs, challenging assumptions and driving evidence based decision making.

Own analytics for Shipping 

Be the go-to data scientist for the Shipping team - deeply understanding buyer and seller behaviour, carrier and label economics, and the end-to-end delivery experience, measuring performance and finding opportunities to improve outcomes. 

Design and help evaluate experiments

Define hypotheses, monitor A/B tests, and conduct post experiment analyses. Provide clear recommendations on rollouts or iterations.

Enable self-serve data driven decision making

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

What We’re Looking For

  • Strong SQL skills and experience querying large, complex datasets

  • Strategic thinker, comfortable structuring a nebulous problem statement and working it through to a clear recommendation

  • Working knowledge of Python

  • 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 skills, able to explain complex topics clearly and persuasively

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

  • Strong 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 in shipping, logistics or marketplace unit economics

  • Experience working with machine learning teams or embedding data science in ML-powered product features


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 of annual leave with the option to carry over up to 5 days
  • Impact hours: Up to 2 days of 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-dependent
  • All offices are dog-friendly

Family Life:

  • For birth parent: 20 weeks of paid parental leave for full-time regular employees
  • For non-birth parents: 12 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 full base salary with Aviva

Depop Extras:

  • In-office Depop Shop (that’s free!) and a packing station with free delivery.
  • Special milestones are celebrated with gifts and rewards!
Prêt à postuler chez Etsy ?
Postuler chez Etsy

À propos de Etsy

Etsy, Inc., founded in 2005, is the global marketplace for unique and creative goods. Our mission is to keep commerce human, and we’re committed to using the power of business to strengthen communities and empower people. We connect millions of buyers and sellers from nearly every country in the world. Buyers come to Etsy to be inspired and delighted by items that are crafted and curated by creative entrepreneurs. For sellers, we offer a range of tools and services that address key business needs.

Voir tous les emplois chez Etsy →

Emplois similaires

RELX
Senior Data Scientist & AI Solutions (m/f/d)
RELX
⚡ Postuler tôt Germany - Karlsruhe Sur site €59,300–€98,600
● Nouveau 👁 Vu ✓ Postulé il y a 4 h
CoreWeave Europe
Data Scientist
CoreWeave Europe
⚡ Postuler tôt London, UK Sur site
● Nouveau 👁 Vu ✓ Postulé il y a 15 h
Faculty
Lead Data Scientist
Faculty
⚡ Postuler tôt UK - London Hybride
● Nouveau 👁 Vu ✓ Postulé il y a 3 j
Faculty
Senior Data Scientist (Safety)
Faculty
⚡ Postuler tôt UK - London Hybride
● Nouveau 👁 Vu ✓ Postulé il y a 3 j
Faculty
Senior Data Scientist
Faculty
⚡ Postuler tôt UK - London Hybride
● Nouveau 👁 Vu ✓ Postulé il y a 3 j
Referrals Only
Senior Data Scientist
Referrals Only
⚡ Postuler tôt Cardiff, London or Remote (UK) · lieu restreint
● Nouveau 👁 Vu ✓ Postulé il y a 3 j
Prolific
Applied Scientist, Supply
Prolific
⚡ Postuler tôt London Sur site
● Nouveau 👁 Vu ✓ Postulé il y a 3 j
LS
Scientist II / Senior ML Scientist, Data-Efficient Learning for Drug Discovery
Lila Sciences
⚡ Postuler tôt Cambridge, MA USA; London, UK;... Sur site $228,000–$358,000
● Nouveau 👁 Vu ✓ Postulé il y a 4 j
LS
Scientist II / Senior ML Scientist, Cofolding and Structure-Aware ML
Lila Sciences
⚡ Postuler tôt Cambridge, MA USA; London, UK;... Sur site $228,000–$358,000
● Nouveau 👁 Vu ✓ Postulé il y a 4 j

Inscrivez-vous pour des suggestions adaptées aux emplois que vous ouvrez et aux recherches que vous enregistrez.

Plus d’emplois chez Etsy

Voir tous les emplois chez Etsy →

Postuler maintenant
🤖

Doucement — un instant

JobsRadar a été conçu pour de vraies personnes qui traversent une période difficile dans leur recherche d’emploi — pas pour des requêtes automatisées. Vous cliquez beaucoup trop vite et vous êtes maintenant temporairement bloqué.

Revenez plus tard. Si vous cherchez réellement un emploi, nous sommes de votre côté — agissez simplement comme un être humain.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Prenez une longueur d’avance dans votre recherche d’emploi.

Rejoignez notre canal Telegram pour ce qui vous aide à décrocher le poste — références salariales, le pouls hebdomadaire du marché et les annonces de nouveautés. Pas de spam, que du signal.

Rejoindre le canal — c’est gratuit