Data Scientist (Technical)

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you’re welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

Our Exciting Opportunity

Responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.

Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems.

Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.

You will:

• Perform Data science leadership
• Synthesize problems into data question(s)
• Decide approach for data science
• Design & perform data science experiment
• Develop Data Science Infrastructure &Tools
• Convert data into actionable insights.
• Act in external relations

To be successful in the role you must have:

Theoretical Knowledge:

• Common and advanced Clustering algorithms including probability density and distribution based.
• Convolutional Neural networks
• Recurrent Neural Networks
• Bayesian based probabilistic graphical models
• Deep Autoencoders
• Latest machine reasoning techniques
• Reinforcement learning

Application of ML/AI:

• Clean clustering of high dimensional data with noise
• Application of autoencoders to high-dimensional data
• Application of CNN to high-dimensional temporal data
• Application of RNN to high- time series data for forecasting
• Application of Bayesian dimensional networks for causal reasoning
• Auto learning of network structure from data for probabilistic graphical models

Frameworks, Languages, & General skills:

• Strong programming skills in Python, ability to write object oriented and scalable code
• JupyterHub and notebooks
• Strong skills in the use of current state of the art machine learning frameworks such as Tensorflow, Keras, scikit-learn, etc.
• Ability to handle large amounts high dimensional data (knowledge of MapReduce or PySpark is a plus)
• Good data Visualization skills
• Ability to work independently and be a self-starter with high energy, enthusiasm and persistence

What´s in it for you?

Here at Ericsson, our culture is built on over a century of adventurous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where emotional intelligence and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to a broad, global company where your chance to create an impact is endless.

What happens once you apply?

To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do.

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, Indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson’s Code of Business Ethics.