DATA SCIENTIST

Sumár práce
Zmluva na dobu neurčitú
Prague
Plat: Neuvedené
Niekoľko dní doma
skúsenosti: > 1 rok
Zručnosti & odborná znalosť
Spolupráca a tímová práca
Zručnosti pri riešení problémov
Shiny
Squash
Python

Omnicom Media Group
Omnicom Media Group

Máte záujem o túto ponuku?

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Pozícia

Popis pracovnej ponuky

Our team

Our data science group called Annalect consists of an Advanced Analytics as well as a Data Management and Visualization team. Both sub teams have experienced data scientists with advanced degrees as well as junior team members.

The diverse capabilities of our team are used for projects addressing clients’ business needs as well as for internal innovative projects aimed at improving efficiency and finding new ways of supporting firm’s core business.

Our Advanced Analytics team uses Python and R to explore vast amount of data at our disposal, build precise Bayesian (and other) models to advice our clients how to improve their marketing efficiency. We are currently looking for data scientist to this advanced analytics team.

Primary job responsibilities include

·         Understanding clients’ business challenge and context of the task. Translating business problem into analytical problem.

·         Suggesting appropriate modelling approaches given the problem in hand and available data

·         Building econometric, Bayesian and machine learning models using available data. Using tools such as R, R Shiny or Python  for advanced techniques such as predictions, simulations, and optimizations

·         Interpreting obtained results, presenting and providing advice to the business executives

·         Using most recent scientific articles to enhance the applied models. Developing and improving inhouse built R and Python libraries to automate and improve our modelling capabilities.

What we offer for that?

No boredom and routine. You will participate in completely unique projects for large clients (Škoda Auto, KFC, Rohlik, Mall CZ, Kooperativa, Savencia, TV Prima,…).

Cooperation with our colleagues in London on projects for international clients.

Ability to partially work from Home Office.

Nice and informal offices, which you will have only a minute from the subway (Pražského povstání). Chilled juices, soft beer and fresh fruit are also waiting for you everyday.

Two more weeks of all-agency leave in addition to the classic holiday - so when the public holiday falls on a Thursday, we all stay at home on Friday and enjoy an extended weekend.

We also educate, have teambuildings, contribute to the public transport, pay for your private calls and a laptop is a matter of course. Sometimes we have pancake breakfasts or a birthday party together.

For a better idea of ​​our corporate life, take a look at our Facebook, LinkedIn profile (OMG Research, @omnicommediagroupcz) or Welcome to the Jungle (Omnicom Media Group).


Preferované skúsenosti

Qualification and Education minimum requirements

·         At least two years of relevant analytical / data science job experience

·         MSc Degree in Mathematics, Statistics, Information Technology, Operations Research / Optimization, Machine Learning, Engineering, or another related field

·         Fluent in Czech or Slovak

Desired Experience and Skills (not compulsory)

·         Passion for advanced analytics (mathematics, statistics and machine learning) and applying analytics to real business problems, strong knowledge of econometrics methods, experience in Bayesian modelling is an advantage

·         Demonstrated advanced coding skills, experience with building own libraries in Python or R is an advantage

·         Demonstrated strong communication and interpersonal skills, including the ability to make high-level presentations for senior executives

·         Demonstrated strong communication and interpersonal skills, including the ability to make high-level presentations for senior executives

·         Ability to drive project progress, suggest appropriate modelling techniques, program them and analyze their performance

·         Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data

·         Ability to work both independently and collaboratively within the team

·         Ability to play badminton, squash, football or table football, but candidates with other relevant skills will be considered, as well

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