Decision Scientist, Fulfillment

Information about the position 

The Fulfilment domain at Vinted Go covers three business lines: Offline verification for high-value fashion(1) and electronics (2) as well as our newest recommerce initiative (3). 

The first two operate very similarly: We are currently operating two specialised hubs in London and Hamburg where the offline-verification services as well as the entire logistical process surrounding these services take place (e.g., admitting and re-packaging the item).

The third business line is just about to start and we aim to utilize Vinted's marketplace to resell orphaned parcels and scale the needed logistics in France (Lille) accordingly.

As a Decision Scientist in this fast expanding domain, you can drive significant impact across all three business lines as part of a cross-functional product team - working alongside Product Managers, Engineers and Designers. You will report to the team lead of Data Science & Analytics (Vinted Go Fulfilment).

In this role, you leverage your proximity to the data to proactively conduct analysis to detect potential bottlenecks, product improvements or new business opportunities and evaluate initiatives using statistical methods and simulations.

Concurrently, you will serve as the domain's go-to expert for all data-related ad-hoc requests and automated reports/dashboards, leveraging a deep, comprehensive understanding of the verification hub processes.

This job position offers the best of two worlds: A dynamic environment of a fast-changing startup where you can bring in your own ideas with the stability and resources of an established, profitable enterprise.

Within Data Science & Analytics at Vinted, we have three distinct roles. We believe that each role can make a similarly-sized business impact, and therefore our salary ranges are the same for all three roles. To better understand your role as a Decision Scientist, here are brief descriptions of each role in the department:

• Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and developing automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision making.
• Data Scientists are responsible for identifying algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, developing and maintaining production-grade statistical and machine learning algorithms.
• Analytics Engineers are responsible for data curation: Translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.

In this position, you’ll 

• Collaborate with your team and direct stakeholders to identify opportunities and to gather business requirements which you then translate into data models 
• Propose and implement business performance metrics and set up monitoring
• Enable your team and direct stakeholders to independently leverage data for business insights via self-service and dashboarding tools (Looker)
• Ensure new business initiatives have been reviewed through the eyes of a decision scientist and proven impactful
• Bring in data-driven ideas to improve the processes in the hubs and proactively flag issues
• Ensure requests are answered and presented in an optimal fashion (e.g., in the form of an ad hoc deep-dive, experiment, dashboard, or automatically recurring analysis)
• Define the requirements for A/B testing and analyse the results of the tests

About you 

• A good communicator who can present complex topics clearly and persuasively to different audiences
• A proactive individual who thrives in a fast-paced, constantly evolving business environment 
• Passionate about implementing structure where little exists
• Fluent in SQL and Python
• Hands-on work experience with a BI tool (e.g. Looker, Tableau, PowerBI)
• Statistically proficient (e.g. regression analysis, A/B testing)
• Excellent at communicating in spoken and written English
• Advantageous: familiar with a data transformation tool (e.g. dbt or dataform) and version control (git)

Work perks 

• The opportunity to benefit from our share options programme
• 30 days of paid annual leave
• Newest MacBook models
• Digital mental and emotional health support and Employee Assistant Program (EAP)
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• A daily lunch allowance
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• A subsidised gym membership with ClassPass or Urban Sports Club
• A subsidised pension plan provided by Vinted
• Hallesche Supplemental health insurance
• Life and disability insurance provided
• A subsidised Deutschlandticket
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
• A dog-friendly office

Working at Vinted 

Individual Learning Budget

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.

Hybrid Work 

We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.

The salary range for this position is € 57,500 - € 77,900 gross per year.