Data Scientist (361650)

Position Summary:
Are you interested in leading our company through the future challenges of the 5G industry? Do you have a passion for developing and deploying digital solutions in an iterative way together with cross-functional teams? Join our digital team and help us take digital at Ericsson to the next level! We are looking for strongly determined and passionate Data Scientists who can evaluate, implement, and industrialize high quality advanced analytics / AI / ML applications to support cross-functional teams in delivering value to our customers and employees. 
Activities of a Data Scientist includes defining, processing, and analyzing data to identify actionable solutions, and applying and industrializing advanced analytics / AI / ML applications. The ideal candidate is able to show a strong track record of developing impactful solutions and applying them at scale to realize significant business impact, and has the ability to effectively present and communicate findings and solutions to a project manager and other key stakeholders.  
We are currently looking for Data Scientists in Stockholm, Sweden.
Responsibilities of a Data Scientist: 
Identifies opportunities to create business value using advanced analytics / AI / ML  
defines datasets needed for executing on identified opportunities 
Determines availability of and possibility to obtain necessary data 
Processes, cleans, and verifies data 
Applies algorithms to analyze data and identify patterns / trends 
Comes up with actionable solutions based on executed analysis 
Communicates recommendations to a project management and cross-functional team 

Data Scientist basic qualifications: 
University degree / MBA in Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field (e.g. applied mathematics/statistics) 
Significant experience from applying data science methodologies to solve challenging real-world business problems (predictive modeling, customer segmentation / clustering, network analysis, etc.) 
Strong foundation in mathematics and statistics 
Fluency in at least one scripting language (e.g. Python, R) 
Strong analytical skills and ability to acquire new knowledge and apply it in the job   
Acumen for business flow understanding and expertise in data preparation, data mining, and pre-processing 
Strong communication, presentation, and collaboration skills  

Data Scientist preferred qualifications:  
Familiarity with Agile ways of working 
Understanding of end user / customer needs and perspectives 
Ability to effectively collaborate and share knowledge and best practices with wider team  
Experience with data visualization and dashboard creation 
Experience supporting and working with cross-functional teams in a dynamic environment 

The selection and interview process is ongoing. Therefore, send in your application in English as soon as possible.
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