Decision Scientist, Matching
Vor 7 Tagen
Vinted is Europe's biggest pre-loved fashion marketplace, with 75+ million registered members in 18 countries. We want to make second-hand the first choice worldwide.
A team of 1,200+ people from Vinted's offices in Vilnius, Berlin, Prague, and Amsterdam develop and support our platform. We share a unique work culture that's based on aiming high, taking ownership, co-creating, caring, and growth.
As our new Decision Scientist, you will become a part of the Matching domain with a mission to improve our search engines, product categories, discovery channels and journeys, leveraging the content of our connected international markets and creating the most efficient recommendation systems for the buyers. Matching Intelligence is the newly created data analytics and science hub of the domain - a team will be composed of data and decision scientists together with analytics engineer that support different teams in the Matching domain with data insights, researches and data products that enable faster experimentation and product development. You will work closely with other data specialists in your team and collaborate with Product Managers, Engineers and Decision/ Data Scientists across the Matching domain. We're looking for someone who likes to work in a fast-changing environment, is willing to switch contexts by contributing to different domain's goals and projects depending on priorities and is passionate about the product we're building together.
Next to the product team you will be part of the cross-domain Data Science & Analytics (DSA) guild where you will interact and learn from all data people in Vinted. Within DSA we have three distinct roles. We believe that each role can make a similarly sized business impact in different ways and therefore our salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:
- **Analytics Engineers** are responsible for data curation - translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
- **Data Scientists** are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.
**In this position, you'll**:
- Collaborate with your team (Matching Intelligence) and direct stakeholders from different Matching domain's teams to identify strategic opportunities and answer key business questions
- Ensure these questions are answered in an optimal fashion (e.g. in the form of an ad hoc deep-dive, experiment, dashboard, or automatically recurring analysis)
- Analyse identified opportunities to understand their scope and impact (i.e. size opportunities)
- Get familiar with Matching domain's data (which is huge) and contribute/ own the key performance indicators for a team, including selection, tracking, forecasting, and proactively flagging issues
- Enable your team and direct stakeholders to independently leverage data for business insights via self-serving and dashboarding tools (Looker)
- Define the requirements for (A/B) testing and analyze the results of (A/B) tests
- Help to create a backlog with prioritized hypotheses and analyses
**About you**:
- 2+ years experience working full-time as a Decision Scientist, Data Analyst, Business Strategist, or Product Analyst
- A Bachelor's degree in Applied Mathematics, Data Science, Computer Science, Economics, Statistics, Econometrics, Business, or another related field (equivalent working experience is also acceptable)
- Highly business-oriented and comfortable with iterative processes
- A good communicator who can present complex topics clearly and persuasively to different audiences
- Excellent written and spoken English
- Strong interpersonal skills
- Are able to balance between analyses depth (time needed) and business impact
- Statistical proficiency (e.g. A/B testing, regression analysis)
- Proficient in SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.)
- Programming experience (Python/Spark/Scala/R)
- Advantage: experience working in a tech company or in a cross-functional product development team
**Work perks**:
- Opportunity to join our share options programme
- Learning budget (10% from gross yearly salary)
- 30 working days of holiday
- Remote workout classes
- Mental and emotional health support from Mindletic
- A daily allowance for ordering lunch
- Monthly team-building events
- A personal budget for shopping on Vinted
- Work anywhere in the EU for 90 days out of the year
- Dog friendly office
- Home office support (IT workstation equipment provided + a personal budget of up to €540 for home workplace furniture)
We want people to work from where they're most comfortable, which is why we're using a hybrid workplace model at Vinted for the fores
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