Data Science Analyst (Product Analyst, Data Scientist)

Job Description

About the team
The Data Science Hub is where we use analytical techniques, mathematics, and machine learning to solve an array of business issues. We deliver valuable insights and make informed decisions by processing terabytes of data every day. Our team presents excellent growth opportunities and a unique chance to obtain multidisciplinary knowledge about functioning e-commerce platforms. The extent of our impact on various business sectors is showcased in our assorted project portfolio that includes logistics, logistic network optimization, marketing, pricing, finance, and more.

The Data Science Hub comprises 5 teams:

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

We are currently recruiting for the Data Analytics team. 
 

What this role entails

• You will become a member of a team responsible for evaluating the incremental value for ML projects.
• You will analyze the complete ML pipeline, identifying potential areas for improvement and bottlenecks.
• On a daily basis, you will use data mining to confirm or deny hypotheses.
• You will design experiments for ML projects like AB tests, causality exploration, and model analysis, and subsequently provide insights based on observations.

We are looking for individuals who

• Are highly familiar with Python and SQL.
• Have practical experience with ML modeling.
• Have previously worked with tabular data and their visual representations.
• Comprehend mathematical concepts, statistical modeling, and probability theory.
• Are not afraid to challenge the status quo.
• Understand the business aspect of data projects.
• Are inquisitive and eager to learn new things.
• Have English language proficiency at B2+ level.

What we offer

• A hybrid working model which you will coordinate with your leader and the team. We have conveniently situated offices (with fully equipped kitchens and bike parking facilities) and superior work equipment (height-adjustable desks, interactive conference rooms).
• A comprehensive selection of benefits in a cafeteria plan – you select what suits you (e.g. health, sports or lunch benefits, insurance, shopping vouchers).
• Profession-specific English lessons that we cover.
• The necessary work tools.
• Working in a solid team that you can always count on — we have top-class specialists and mentors on board.
• Hackathons and an internal learning platform, MindUp (including training on work organization, communication methods, work motivation, various technologies, and subject-specific matters).

Why it's worth working with us

• We develop our proprietary state-of-the-art tools.
• Big Data – we have several petabytes of data, and we use Machine Learning in production.
• We employ 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 (tens of thousands of servers) and Public Clouds (Google Cloud and Microsoft Azure).
• We have over 100 original open-source projects and garner thousands of stars on .

Want to know more about us? Listen to the:

Submit your CV, become a part of our experience, and see why it is #goodtobehere.