Data Scientist

Who we are
We’re here to connect you to what matters most, and by doing so, empowering societies. As a Telenor employee, you will be part of a large, international organization that goes beyond customers – we want to play an important role in the societies we serve. Being connected can change your life, and we’re serious about helping our services make the widest possible impact. 

We who work in the Analytics and AI team are providing analytics as a service to the whole company, but we are also working independently with new ideas such as data products, predictive modeling, and AI. Most of the team members are Data Scientists or Data Analysts with strong background in statistics, Machine Learning and web analytics. All dedicated to transforming Telenor into a data-driven, well-informed company. We are dedicated, long-experienced, helpful, and fun, and we expect you to challenge us every day!

We are looking for an analytical and proactive person to join our Advanced Analytics and AI team. Telenor is rapidly heading towards the digital future and we are looking for people with a natural proactive drive who wants to make a difference. 

What you’ll do
You will be a key player in our Data Products team where you will work closely with Data Engineers and other Data Scientists to solve interesting challenges:
* Privacy anonymization techniques
* Exploring and applying statistical modeling over very interning internal and external data sources
* Developing analytical data products for internal and external customers
* Collaboration with Telenor and external research institutes and companies

In fact, what make this role interesting are the analytical challenges that no one has solved before. You will be part of a startup like team while you get corporate support. To become a successful Data Scientist in this role you need hands on knowledge in developing predictive models, applying both supervised and unsupervised techniques. We work in small, highly collaborative agile cross-functional teams, and we believe you should feel comfortable to overcome uncertainties with experimenting and prototyping. Your mission and goals will be clear yet you will have high level of autonomy to find proper solution. In order to thrive we think you should be self-driven, proactive, and ambitious to find the way to reach solutions.

Who are you
You will be accountable to deliver on the above with high level of autonomy. We believe below experience will help you to break through complexity and thrive. 
* Relevant university degree (Engineering, Statistics or Physics)
* Experienced in working with machine learning techniques (classification and regression models, clustering, boosted trees, experience with deep learning is a merit)
* Having worked with large spatiotemporal datasets and/or in the telco or transport domain is an advantage
* Hands-on experience in data technologies and programming language such as SQL, Spark, Python, Scala, R preferably in AWS cloud environment
* Basic data engineering skills
* Good communication and problem solving skills
* Have personal interest to learn and evolve in within the Analytics and AI field

Our promise
A balanced workforce is key to our success. To secure that, we’re committed to fostering a working environment where our employees are supported and empowered in all areas of their work. We promise you a company eager to learn and rapidly adapt to a digital world where you will be welcomed into a skilled team of professional and knowledgeable colleagues. In addition, you will get:
* A flexible way of work - have a lunch workout without having to rush back, be able to leave/pick up the kids from school, work from home when you need to? This is no problem if you make sure your team is happy and you perform and deliver your work. 
* A generous health and benefit package with for example wellness grant, health insurance, ”give me a break”-days, occupational pension and much more.
* Development programs to deepen your knowledge and broaden the competence. 

Come join us now
If you are interested and would like to know more, please contact Amin at Aminreza.Pournorouz@telenor.se. Don’t send your CV by email – these will not be evaluated. 

Good to know
* According to Telenor's policy, we conduct background checks on the final candidate for all recruitments
* Application deadline:2019-03-03
* Location: Stockholm, Sweden