Data Scientist - Price Management

14.6k - 20.8k PLN14 600 - 20 825 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

MidHybryda·WarszawaFull-time·Umowa o pracę

#479267·Dodano 2 dni temu·0

Źródło: Allegro Sp. z o.o.

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Tech Stack / Keywords

Python SQL Google Cloud Platform GenAI machine learning neural networkscausal inferencedeep learningboosting modelstime-series data

Podsumowanie oferty

As a Data Scientist in Price Management, you will own core algorithms and data models for Allegro’s price management engine. You will develop solutions using predictive, segmentation and recommendation models to address business challenges across Allegro.

Wymagania

At least 2 years of experience in data analysis using SQL and building machine learning solutions in Python.
Passion for translating business challenges into impactful AI/ML problems.
Excellent communication skills, from formulating analytical problems to clearly and intuitively presenting results.
Proficiency in Python and efficient use of basic development tools.
Strong understanding of statistical and machine learning methods.
Degree strongly related to statistical or mathematical modeling, such as Mathematics, Physics, Economics, Computer Science or similar.
English proficiency at least at B2 level.

Obowiązki

Lead impactful projects:

Co-create solutions from concept to productization to solve complex business problems in Price Management using predictive, segmentation and recommendation models.

Master diverse techniques:

Work with GenAI, boosting models, neural networks, causal inference, optimization methods and deep learning.

Handle massive datasets:

Process terabytes of tabular, natural language, image and time-series data using Google Cloud Platform solutions.

Selected projects:

Develop ML models to monitor and continuously improve the incremental GMV generated from price subsidies.
Develop advanced data science solutions and predictive insights to detect and prevent fraud within the system.

Benefity

Flexible working hours, with working hours starting between 7:00 a.m. and 10:00 a.m.
Annual bonus based on annual performance and company results.
Bicycle parking at the offices.
Choice of fringe benefits through a cafeteria plan, including medical, sports or lunch packages, insurance and purchase vouchers.
Employer-paid English classes related to the specific nature of the job.
Training budget and an internal learning platform with multiple trainings.
An additional day off for volunteering.
Social events for Allegro people.

Elastyczne godziny

Premie

Parking dla rowerów

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Kursy językowe

Dofinansowanie szkoleń

Spotkania integracyjne

Allegro

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