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

Posted 3 Days Ago
Be an Early Applicant
Poznań, Wielkopolskie
Mid level
eCommerce • Information Technology
The Role
As a Manager, you will coordinate a team of data professionals involved in shaping Ads products. Responsibilities include implementing technology strategy, creating analytical road-maps, and collaborating with stakeholders to derive insights and solutions.
Summary Generated by Built In

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!


Top Skills

SQL
The Company
Poznań
4,172 Employees
On-site Workplace
Year Founded: 1999

What We Do

Allegro is the most popular shopping platform in Poland and the largest e-commerce platform of European origin. We operate a marketplace model which means that customers can buy whatever they need from over 135,000 merchants, who can list an unlimited number of offers on our platform. We offer products in all key categories including Automotive, Fashion, Home&Garden, Electronics, Books and Collectibles, Kids or Health and Beauty. Each month, 22 million customers visit our platform, which is equivalent to almost 80% of all Internet users in Poland. They can choose from over 250m offers at the most attractive prices with maximum convenience including fast and free deliveries under the Allegro Smart! programme, modern financial services (Allegro Pay), as well as Poland’s widest 50k pickup points network. In 2019 we celebrated the 20th anniversary of Allegro in Poland. For over two decades, we have been serving consumers and promoting the idea of entrepreneurship in one of the most innovative areas of the economy. We have come a long way from an auction site for private individuals looking for a modern alternative to their local flea market. Today, we are a vibrant international marketplace platform for professional sellers and a must-have sales channel for top international brands and retailers. We currently employ more than 7000 employees and each of us ranks among the best experts in their field. Whether it’s in Technology, Customer Experience, Commerce, Delivery Experience or many other teams, we’re all proud to say that Allegro employs the best people on the market and all of us are ready to admit that it’s #goodtobehere.

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