IT Data Scientist - IT (TM)

Job Description:

Do you want to be an IT Data Scientist? These should spark your interest:

* Apply state-of-the-art data science methods to create production grade algorithms and analytics/ML pipelines;
* Consult analytics projects with expertise on potential algorithmic improvements, productive setup and operationalizing of ml pipelines;
* Use statistical knowledge to summarize data, quantify uncertainties, look for trends and patterns and build models;
* Collaborate on projects with cross-functional teams in specialist departments and IT;
* Show interest in current developments as well as trends and market developments in ML by staying up to date with recent methodologies, incorporating them into daily work;
* Share your knowledge with the community via trainings and consulting.

Job Requirements:

This is what it takes to be a successful in IT Data Scientist:

* Master's degree in statistics, applied mathematics, computer science or machine learning;
* Proven experience in data analysis and statistical modelling; experience in MLOps or DevOps Methodologies and supporting tools is a big plus;
* In-depth knowledge of programming in Python & cloud technologies; knowledge of R and data visualization with Power BI or similar is a plus;
* Ability to express complex concepts in a comprehensible language for non-specialists;
* Very good command of English (both written and spoken);
* Very good communication skills;
* Quality mindset;
* Intercultural competencies.

What we offer:

Pay for Performance:

* Achievement Bonuses and Rewards;
* Relocation Bonus for non-Timisoara Residents;
* Recommendation Bonuses for new team members;
* Flexibility Program including flexible hours, mobile work and sabbaticals.

Wellbeing:

* Health & Wellness (Private Health Insurance, Life Insurance, Sport activities etc.);
* Different discounts (glasses, tires, medical, shopping);
* In-house restaurant & coffee corners.

Life-Long Learning:

* Technical, Soft Skills & Leadership trainings;
* Dedicated Programs and Conferences;
* Free Language Courses (English, German, French etc);
* Access to e-learning platforms;
* Career development opportunities (local and international);
* Internal development communities (Experts, Agile Community of Practice, Artificial Intelligence etc).