Manager, Data (Data Science, ML & AI) - Technology Ads/Product

Warsaw, Poland

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Job Description

We are looking for an experienced Manager, who will coordinate a team with various data roles (Data Analyst/Product Analyst/Data Scientist) that plays a key role in shaping Ads products at Allegro. The perfect candidate should not only possess strong analytical skills and product intuition but also demonstrate business maturity and proactive initiative. Your responsibilities will include cooperation in the implementation of the Technology/Product strategy with Product Management and the creation and coordination of analytical road-maps that are a response to multi-faceted challenges

What we expect from you

  • Minimum of 3 years of experience as a Manager of analytical team or a similar capacity

  • Basic knowledge about E-Commerce business, UX and relevant technology (data processing, various algorithms (ie. recommendations systems, causal inference methods), software development process)

  • The ability to communicate analysis results and recommendations clearly

  • Exceptional collaboration skills, with an emphasis on clear and effective communication with various stakeholders

  • The ability to identify problems and propose effective solutions

  • Team management skills, with a focus on team development

  • Self-organization and a commitment to meeting deadlines

  • Proficiency in using SQL and statistical knowledge related with A/B test 

  • Proficiency in English at a minimum B2 level

What we offer

  • A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

  • Annual bonus up to 20% of the annual salary gross (depending on your annual assessment and the company's results)

  • A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)

  • English classes that we pay for related to the specific nature of your job

  • Laptop with m1 processor, 32GB RAM, SSD - a 16” or 14” MacBook Pro or corresponding Dell with Windows (if you don’t like Macs), two monitors and all other gadgets that you should need

  • Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise

  • A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things

  • Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)

  • If you want to learn more, check it out

Why is it worth working with us

  • At Allegro, you will be responsible for processing petabytes of data and billions of events daily

  • You will become a participant in one of the largest projects of building a data platform in GCP

  • Your development will align with the latest technological trends based on open source principles (data mesh, data streaming)

  • You will have a real impact on the direction of product development and technology choices. We utilize the latest and best available technologies, as we select them according to our own needs

  • You will have the opportunity to work within a team of experienced engineers and big data specialists who are eager to share their knowledge, including publicly through allegro.tech

  • Once a year, you can take advantage of the opportunity to work in a different team or more often if there’s an internal business need (known as team tourism)

This may also be of interest to you: 

Allegro Tech Podcast → https://podcast.allegro.tech/

Booklet → https://jobs.allegro.eu/pl/obszary-prac/tech-data/

Send in your CV and see why it is #goodtobehere!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Causal inference E-commerce GCP Machine Learning Open Source SQL Statistics Streaming UX

Perks/benefits: Career development Gear Lunch / meals Salary bonus Team events

Region: Europe
Country: Poland

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