Job Description

About this opportunity

Within the Solution Area Network Design and Optimization Software R&D (SA NDO SW R&D), we offer the opportunity to collaborate with highly qualified team all around the world and enable success stories for our customers. You will be working with groundbreaking technology (5G, ML/AI, Automation, Cloud computing, and Security) and will be involved in developing the software of tomorrow. Bring on a new career step for enthusiastic professionals who are ready to write the future with us.

The Data scientist will be 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 deliver to the business useful insights, identify trends, and measure performance that addresses business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.

What you will do

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

You will bring

• Common and advanced Clustering algorithms including probability density and distribution based.
• Convolutional Neural networks!
• Recurrent Neural Networks
• Bayesian-based graphical models
• Deep Auto-encoders
• Latest machine reasoning techniques
• Reinforcement learning
• Quantum computing

Application of ML/AI:

• Clean clustering of dimensional data with noise & Application of auto encoders 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. Application of supervised and unsupervised technique

Frameworks, Languages, & General skills:

• Deep experienced programming skills in Python, ability to write object-oriented and scalable code
• Jupyter Hub and notebooks. Solid skills in the use of current pioneering machine learning frameworks such as Tensorflow, Keras, Scikit-learn, etc.
• Capable to handle large amounts high dimensional data (knowledge of MapReduce or PySpark is a plus) on daily basis
• Excellent data Visualization skills. Ability to work independently and be a self-starter with high energy, enthusiasm and persistence

Why join Ericsson?

At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build never seen before solutions to some of the world's toughest problems. Youll be challenged, but you won't be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, .

Be where it begins

Welcome to an inclusive, global company where your opportunity to make an impact is endless. Share your most innovative ideas, bring your unique perspective in a speak up environment. With us, you will no longer be dreaming of what the future holds - you can be the one who makes it possible.

Being a part of our team means having the flexibility to take your career in many different directions, but it also means leveraging the supportive structure of a big organization, with clear personal and professional development opportunities.

We believe that great accomplishments deserve great benefits and transparent rewards. We strive to offer competitive, unbiased, and fair rewards for all our people. We empower you to manage your own time and promote flexible working opportunities, along with family-friendly policies.

to find out more about our benefits.