Advanced Analytics Lead

hace 4 semanas


Madrid, Madrid, España Ericsson A tiempo completo

**About this Opportunity**

Ericsson is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will play a critical role in developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.

**Responsibilities**

* Utilize advanced statistical analytics and machine learning techniques to create actionable insights from complex data sets.

* Collaborate with business and process owners to understand business issues and develop effective solutions.

* Design, implement, and deploy scalable data science solutions using various programming languages and frameworks.

* Provide thought leadership and drive the development of data science infrastructure and tools.

* Synthesize business problems into data-driven questions and develop data science experiments to address them.

**Requirements**

* Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow, and Keras.

* Knowledge of distributed data pipelines and data visualization techniques.

* Ability to work independently and be a self-starter with high energy, enthusiasm, and persistence.

**What you will do**

  1. Perform data science leadership and provide thought leadership to drive the development of data science infrastructure and tools.
  2. Synthesize business problems into data-driven questions and develop data science experiments to address them.
  3. Decide the approach for data science and design data science experiments.
  4. Develop data science infrastructure and tools.
  5. Convert data into actionable insights.
  6. Act in external relations.

**The skills you bring**

* Theoretical knowledge of common and advanced clustering algorithms, including probability density and distribution-based methods.

* Experience with convolutional neural networks (CNN), recurrent neural networks (RNN), transformers, graph neural networks (GNN), and Bayesian-based probabilistic graphical models.

* Knowledge of deep autoencoders and latest machine reasoning techniques, including reinforcement learning and generative AI.

* Application of machine learning and AI techniques to real-world problems, including clean clustering of high-dimensional data, application of autoencoders to high-dimensional data, and application of GNN to high-dimensional complex data structures.

* Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow, and Keras.

* Ability to handle large amounts of high-dimensional data and work independently with high energy, enthusiasm, and persistence.

**Why join Ericsson?**

At Ericsson, you'll have the opportunity to use your skills and imagination to push the boundaries of what's possible. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.


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