Data Scientist

Advanced Analytics & AI at Telenor Sweden is looking for a passionate Data Scientist. As a key player in the team you will part of Data Product agile team. You work closely with Data Engineers and other Data Scientists to solve interesting challenges of a data driven telecom operator and its stakeholders. What makes this role interesting is the fact that in Data Product team you will face a number of analytical challenges that no one has solved before.

Who are we?

Analytics and AI is providing analytics as a service to the whole company, but is 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. All dedicated to transforming Telenor into a data-driven, well-informed company, with smart solutions for everything from customer service to product development and marketing. We are dedicated, long-experienced, helpful, and fun, and we expect you to challenge us every day!

What will you do as  a Data Scientist in the Data Product Team?

We consider and respect data science as a research effort. Therefore, we highly value curiosity, exploration and experimentation. In this role you will explore complex business problems using data from internal and external sources, build predictive, prescriptive and propensity statistical models.

Tasks will involve (but will not be limited to):
* Exploratory research and analysis of large, complex data sets from internal and external clients. (Pattern recognition, anomaly detection, predictive analytics, Deep Learning, CNN eg.)
* Transforming complex business problems into defined analytics use cases and collaborating with Data Engineers & Telenor Research to execute projects.
* Combine internal and external data to develop cutting edge data products for internal and external customers from PoC to implementation. (Recommender Engines, Predictive Maintenance Tools, Realtime Streaming Analytics Tools are some keywords)
* Collaborate with research institutes and companies

You?
To become a successful Data Scientist in this role you need hands on knowledge in developing predictive models, applying both supervised and unsupervised techniques. 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. You should be self-driven, proactive, and ambitious to find the way to reach them.
* Relevant university degree (Engineering, Statistics or Physics)
* Experience 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 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 and skills
* Good communication skills
* Have personal interest to learn and evolve in Analytics and AI

.We Offer
* Telenor continuously works for improved diversity. It is important for us that our employees reflect our customers' diversity. Therefore, Telenor strives for diversity among our employees in terms of gender and nationality.
* Become part of a company such as Empower societies. As an example, the Telenor Group has adopted a six-month paid parental leave policy as the minimum standard globally.
* International experience in other parts of the Group and Telenor Research
* The employee program allows you to become a shareholder in Telenor by buying shares at a discounted price.
* 6 weeks holiday
* You will have access to huge number of courses and development program
* Healthcare benefits, health tests, discounted prices for home cleaning services, babysitter, food bags and several gym chains.

Do you want to create the future with us? "Apply Now" link. We work continuously with this recruitment and therefore want your application as soon as possible, but no later than 2018-06-10. We look forward to receiving your application!

Do you have a question? Contact me (Aminreza Pournorouz), recruiting manager, Aminreza.Pournorouz@telenor.se.

Location: Stockholm

Employment: Full time employment