Join Us as a Mid/Senior Data Scientist (Maternity Cover) at Data Science Hub

Welcome to the Data Science Hub at Allegro, where we specialize in providing cutting-edge Data Science and Machine Learning solutions for our business teams. Our dynamic work environment offers continuous development opportunities and a unique chance to gain a multidisciplinary understanding of eCommerce platforms. Explore our diverse range of projects including:

• Modeling user behavior (buyers and sellers)
• Predicting delivery times in logistics
• Optimizing advertising campaigns with thematic recommendations
• Managing promotional pricing and sales campaigns
• Forecasting platform-wide indicators like product demand

Key Responsibilities

As a Mid/Senior Data Scientist with us, your role will include:

• Co-creating projects from concept to productization to deliver insights and models addressing business problems in areas such as DEX, CX, and operations including predictive, segmentation, forecasting, and recommendation tasks.
• Utilizing a variety of model types, including boosting models, Bayesian methods, causal inference, optimization methods, and deep learning.
• Processing terabytes of data using Google Cloud Platform solutions.
• Working with diverse data types including tabular data, spatial data, natural language texts, images, and time series.
• Participating in the implementation of both offline and online models.
• Providing technical leadership and mentorship to junior and mid-level data scientists.
• Collaborating with other teams such as business stakeholders, analytics, and data engineers.

Why Work With Us?

Here are a few reasons why Data Science at Allegro is a rewarding career:

• Play a crucial role in one of the world's largest eCommerce platforms as part of our data-driven technology company.
• Engage with a wide range of challenging and interesting projects.
• Work alongside experienced Data Scientists who are leading experts in their field.
• Access vast data sets and the latest data processing technologies.
• Learn about cutting-edge tools and technologies such as Python, MLFlow, GCP BigQuery, Tableau, Composer, Dataflow, and PySpark.
• Adopt good programming, engineering, and code management practices.
• Participate in industry conferences and training sessions, and be an active member of the global Data Science/Machine Learning community.

Benefits & Perks

Working with us comes with an array of benefits:

• A hybrid work model, allowing flexibility that you can discuss with your leader and team.
• Modern office amenities including fully equipped kitchens and bicycle parking facilities.
• State-of-the-art working tools like height-adjustable desks and interactive conference rooms.
• An annual bonus of up to 10% of your gross annual salary, based on your performance and the company's results.
• A comprehensive fringe benefits package in a cafeteria plan, offering options such as medical, sports, and lunch packages, insurance, and purchase vouchers.
• Fully-funded English classes tailored to your job requirements.
• A choice between a 16" or 14" MacBook Pro with an M1 processor and 32GB RAM or a corresponding Dell with Windows.
• High degree of autonomy in organizing your team’s work, with continuous development and innovation encouraged.
• Participation in Hackathons, team-building activities, and access to a training budget and internal educational platform, MindUp.

Ideal Candidates

Our ideal candidates will have:

• A degree in a field related to statistical/mathematical modeling such as Mathematics, Physics, Economics, or Computer Science.
• At least 2 years of experience in data analysis using SQL and building machine learning solutions.
• The ability to translate business challenges into machine learning problems.
• Effective communication skills for interacting with business units from problem formulation to result presentation.
• Proficiency in Python and basic development tools.
• An understanding of statistical and machine learning methods, particularly for forecasting and