Data Scientist

  • Infobip
  • Zagreb, Croatia
  • 20/11/2021
Full time

Description

Why is this role important at Infobip?

We are looking for a data enthusiast with strong interest in Machine Learning and Big Data technologies. And you know what they say about people who are interested in Machine Learning and Big Data technologies? …if you do, please share it with us when you come to the interview. 

Our Data Science team's purpose is automating and facilitating various technical and business processes using analytical tools, advanced algorithms, and machine learning. You will be a part of a bigger organizational unit with a main focus on analytics, encompassing various teams working on a broad scope of projects – based on data of course. Glasses and white coats are not required.

What to expect:

  • Global impact: you will work for a company that interacts with more than half of active mobile phones on the planet – with the goal of connecting all of us - talk about global and BIG data, hmm?
  • Freedom and responsibility: to embrace new challenges, dig the data and deliver awesome insights to support business decisions
  • Team spirit: you will receive help and knowledge not just from your team members, but from people working throughout the organization - #no-silos
  • Variety: you will work with stakeholders from different levels of the organization on a wide range of projects and tasks.
  • Personal development: you will participate in internal educations, have access to world-class courses, have 1-on-1 education and much more.
  • Focus on business/profitability related problems.

Qualifications

Minimum Qualification:

  • 5+ years of experience in quantitative research/analytics, or 3+ years of experience in data science
  • Solid/demonstrable experience with statistical programming in Python or R
  • Experience working with structured and unstructured datasets
  • Experience in applying data analytics/machine learning solutions to solve business problems
  • Good communication skills as well as the ability to explain sophisticated topics in straightforward terms
  • Ability to visualize data and/or build dashboards to communicate findings more effectively
  • Passion for learning new skills and staying up-to-date with ML algorithms and engineering practices
  • Experience working in an Agile environment (e.g. Kanban, Scrum)
  • Experience in at least one advanced analytical area including Predictive Modelling, Process Mining, Recommendation Engines or NLP

Preferred Qualification:

  • Experience using Linux
  • Experience using Docker
  • Experience using Microsoft Azure stack
  • Experience with languages such as JavaScript or Java
  • Professional industry experience within telecom, retail or financial services is a plus

Additional Information

Why our employees choose us (and stay)?

  • Big and complex infrastructure – When we talk about a large system, we really mean it. Our platform generates traffic that measures in millions of messages every minute. 
  • Never a dull moment – We work with powerful companies with a strong impact, which pushes us to work on the highest possible level. Work on uncharted challenges and push boundaries on a daily basis.
  • Opportunity knocks. Often. – Being a part of a growing company in a growing industry – we challenge you not to grow! Whether it’s horizontal, vertical, or angular, we want to support the path that you want to carve.
  • Learn as you grow – Starting from the Academy as an onboarding program to internal education, education resources, e-learning to external education, we invest heavily in employee learning and development.
  • Connect globally – Work with people from different countries, participate in the biggest IT and Telecom events, join us in our Summer Connect conference in Croatia. We put the “global” in globalization.
  • Compensation & Benefits – Competitive salary, travel allowance, expatriate compensation packages for your business trips, rewards and holiday bonuses, a team taking care of all the equipment you need, team buildings and other organized activities, the company library, organized sports, kitchen stocked with the usual suspects... Talk about a balanced lifestyle!

We do not ask for any fees (refundable or non-refundable) at any stage of the job application and or recruitment process. We, therefore, appeal to job seekers not to respond to any such requests.

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