Allegro

Machine Learning Manager

Allegro

full-time

Posted on:

Location Type: Hybrid

Location: Warszawa • Poland

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Tech Stack

PythonSQL

About the role

  • Lead and grow a team of Data Scientists and Product Analysts, fostering a high-performing, and collaborative environment
  • Set technical direction and team vision, aligning ML initiatives with business and product strategy
  • Act as a technical partner for stakeholders, translating business problems into well-scoped ML initiatives and priorities
  • Guide the team in designing, delivering and maintaining scalable, production-ready ML solutions
  • Drive effective execution by setting priorities, delegating work and removing technical and organizational blockers
  • Oversee ML project delivery, ensuring sound technical decisions, efficient resource usage and timely outcomes
  • Mentor and coach engineers, supporting technical growth, ownership and senior-level decision-making
  • Provide regular feedback and performance guidance, supporting individual development paths
  • Partner with senior leadership on team planning, hiring and learning & development initiatives, balancing delivery with long-term technical excellence

Requirements

  • Proven ability to lead and develop high-performing engineering teams
  • Strong technical background in data science or data analysis
  • Able to work closely with business stakeholders, translating technical work into business value and risk
  • Experience in data analysis using SQL and building machine learning solutions in production environments, especially with end-to-end experience in designing ML models
  • Ability to program in Python and efficiently use basic development tools
  • Understanding of statistical and machine learning methods
  • Practical and theoretical knowledge of Generative AI and Agentic AI principles (coding tools, prompting, validation)
  • Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science (or similar major) or job experience in data science / ML positions
Benefits
  • Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m.
  • 30 days of occasional remote work
  • Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units)
  • Annual bonus based on your annual performance and company results
  • Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms)
  • A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories
  • 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
  • A training budget, inter-team tourism, hackathons, and an internal learning platform where you will find multiple trainings
  • An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal
  • Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencedata analysismachine learningSQLPythonstatistical methodsGenerative AIAgentic AIML model designproduction environments
Soft Skills
leadershipteam developmentcollaborationcommunicationmentoringcoachingtechnical guidanceprioritizationdelegationperformance feedback