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ASPIRING DATA SCIENTIST TO SWELL THE AMBITIOUS TEAM’S RANKS

DavisNolan

Kraków, małopolskie

Opis stanowiska pracy

An interesting opportunity has arisen for a talented Data Scientist who wants to grow and be part of a team of highly-qualified specialists.

 

Your work environment would be:

 

The environment is very dynamic and you will be able to demonstrate your expertise every single day. The company is looking for candidates who are data-obsessed and feel comfortable with the entire data science stack.

 

In exchange of that, the company would give you opportunity to work in a challenging environment, competitive salary and a rich benefit package.

 

Remote work: up to 20%

B2B/permanent contract

 

As a part of busy, rapidly growing team, you will be responsible for:

- building storage infrastructure

- creating processing pipeline

- providing valuable product recommendations to user

- using machine learning to power browsing through marketplace (to show similar products to the user, customise newsletters etc.)

- providing more data about platform’s users to marketing department

- building statistical and machine learning models to predict user behaviour

Wymagania

Essential skills for this role:

- strong statistics, econometrics, physics or computer science background

- practical knowledge of machine learning

- ability to solve business problems using advanced analytics

- excellent hacking skills at least in one of following languages: R, Python, Scala

- practice with Hadoop ecosystem (especially Spark or/and MapReduce with Hive, Kafka)

- fluency in English (both written and spoken)

 

It would be nice to have:

- Being an active Kaggle competitor

- Knowledge of Deep Learning

Prezentacja firmy

Davis Nolan to jedna z najszybciej rozwijających się firm rekruta... Rozwiń

Dodatkowe informacje

Ostatnia aktualizacja:
17/05/2018
Wymiar etatu:
Pełny etat
Rodzaj umowy:
Na czas nieokreślony
Liczba wakatów:
1
Min. doświadczenie:
1 rok
Min. wykształcenie:
Wyższe licencjackie
Branża / kategoria:
Praca IT - Programowanie / Analizy, Praca IT - Hardware / Information Systems, Praca IT - ERP, Praca IT - Project Management, Praca Inżynieria

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