Product Analyst - Data Science Hub

Job Description

This position is tailored for analysts with knowledge in machine learning.

About the team
The Data Science Hub is where we employ analytical methods, mathematics, and machine learning to tackle a wide array of business issues. By processing terabytes of data every day, we provide critical insights and make data-driven decisions. Our team offers exceptional growth opportunities and a unique chance to acquire interdisciplinary understanding of e-commerce platform workings. Our extensive influence across various business spheres is demonstrated by our diverse project portfolio incorporating areas like logistics, logistic network optimization, marketing, pricing, finance, and more.

Data Science Hub is made up of 5 teams:

• 3 Data Science teams,
• Data Analytics team,
• Data Engineering team.

We are recruiting new members for the Data Analytics team. 
 

Role responsibilities

• You will be part of a team responsible for assessing the incremental value of ML projects
• You will be examining the complete ML pipeline, identifying potential areas of improvement and bottlenecks
• On a daily basis, you will mine data to prove or disprove hypotheses
• Designing experiments for ML projects, such as AB testing, causality investigation, and model analysis and subsequently offering insights based on your findings.

We are looking for candidates who

• Are well-versed in Python and SQL
• Have practical experience with ML modeling
• Have worked with tabular data and their visual representations
• Understand mathematical concepts, statistical modeling, and probability theory
• Aren't afraid to challenge existing structures
• Understand business aspects of data projects
• Are curious and open to learning new things
• Speak English at a B2+ level

What we offer

• A flexible work model that you can agree on with your team leader. We have conveniently located offices (with fully furnished kitchens and bicycle parking facilities) and exceptional work tools (height-adjustable desks, interactive conference rooms)
• A wide range of fringe benefits under a cafeteria plan – you choose what suits you (e.g. medical, sports, or lunch packages, insurance, purchase vouchers)
• Company paid English classes tailored to your job
• Necessary work tools
• A supportive team of top-grade specialists and experts for you to learn from
• Hackathons and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation, and various technologies and subject matter)

Why it's worth working with us

• We research and develop our own state-of-the-art tools.
• Big Data – we utilize several petabytes of data and Machine Learning in production
• We practice Code Review, Continuous Integration, Scrum/Kanban, Domain Driven Design, Test Driven Development, Pair Programming, depending on the team
• Our deployment environment combines private data centers (with tens of thousands of servers) and Public Clouds (Google Cloud and Microsoft Azure)
• Over 100 original open-source projects and several thousand stars on

Do you want to understand us better? Listen to:

Submit your CV, join our journey, and discover why it is #goodtobehere