Middle Data scientist

  • Katerynyns'ka St, 27, Odesa, Odes'ka oblast, Ukraine, 65000
  • Full-time
  • Department: Analytics
  • Location: Odesa

Company Description

AUTODOC GmbH is Europe’s leading online retailer for car spare parts. As the fastest-growing company in this sector, with sales growth of 67% in the financial year (from 415 million EUR in 2018 to around 615 million EUR in 2019; 2017 — EUR 254 million), AUTODOC is aiming to expand its position further. Now we are represented in 26 other European countries in addition to Germany.

AUTODOC pursues a strong customer focus on social media, through technical support in the respective national language and a demand-oriented product range currently comprising almost 2.5 million items from 545 brand manufacturers for 128 car brands.

Job Description

 

  • Building probabilistic models, behavioral analytics, building models for working with user churn
 

Qualifications

  • At least 1 year of experience as a Data Scientist (or at least two years as a Data Analyst)
  • Unsupervised learning - a skill, knowledge of approaches, metrics, the ability to interpret the result of a model
  • Time series: analysis, building regression models on a time series, partial or full automation of forecasting models, what-if analysis using time series forecasting
  • Learning to rank, in particular the matching task: experience is not required, but understanding of the materiel is necessary, the skill of building simple ranking models will be a plus
  • Knowledge of basic neural network architectures
  • Experience with one of the frameworks (PyTorch, TensorFlow, Keras, etc.)
  • Experience with Flask / FastAPI
 

Additional Information

We treat everyone from Autodoc team as a member of the family. That’s why we have created the best working conditions:

  • Comfortable office in the city center
  • Five-day workweek with flexible schedule (9.00 — 18.00 (± 1 hour schedule)
  • Personal and professional development
  • Paid sick leave and vacation (20 days / year) + days off
  • Sports activities (yoga, football, basketball, karting, etc.)
  • Participation in corporate events, individual birthday greetings
  • Corporate library
  • Attending lectures, trainings within the company
  • Participation in the drawing of gifts at corporate events (AirPods, IPhone, trip abroad, etc.)