Grow with us
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 data insights to deliver actionable business insights, identify trends, and measure performance to address business problems. Collaborate with business and process owners to understand issues and work with engineers to implement scalable solutions.
What you will do:
* Ensure data science leadership
* Synthesize problems into data questions
* Decide approach for data science projects
* Design and perform data science experiments
* Develop data science infrastructure and tools
* Transform data into actionable insights
* Represent the company externally
* Ensure seamless transition of AI models from prototype to production
* Enhance the reliability and scalability of AI models in production
To be successful in the role you must have:
Theoretical Knowledge:
* Advanced clustering algorithms, including probability density and distribution-based methods
* Convolutional Neural Networks (CNN)
* Recurrent Neural Networks (RNN)
* Transformers
* Graph Neural Networks (GNN)
* Bayesian probabilistic graphical models
* Deep Autoencoders
* Latest machine reasoning techniques
* Reinforcement learning
* Generative AI
Application of ML/AI:
* Clustering of high-dimensional noisy data
* Autoencoders for high-dimensional data
* GNNs for complex data structures
* CNNs for high-dimensional temporal data
* RNNs for time series forecasting
* Bayesian networks for causal reasoning
* Auto learning network structures for probabilistic graphical models
* MLOps principles for productionizing AI models
Frameworks, Languages, & Skills:
* Strong Python programming skills, including object-oriented and scalable code
* Experience with JupyterHub and notebooks
* Proficiency with ML frameworks like PyTorch, TensorFlow, Keras, scikit-learn
* Ability to handle large, high-dimensional data; knowledge of distributed pipelines is a plus
* Good data visualization skills
* Collaborative skills to work with DevOps teams
* Enthusiasm for knowledge sharing and leading initiatives
* Independent worker with high energy and persistence
Join our Team
About this opportunity:
Welcome to Ericsson! As a Data Scientist, you'll develop machine learning solutions for complex business challenges, employing scientific methods to generate insights and advance applied analytics. You'll focus on creating innovative AI/ML solutions aligned with Ericsson's standards.
What you will do:
* Analyze and optimize technical requirements, managing constraints
* Build predictive models, recommendation engines, anomaly detection, and other ML systems
* Proficiency in Python, Pyspark, SQL, and cloud-based ML solutions
* Collaborate with leaders to define success metrics and develop fitting ML solutions
* Mentor junior data scientists and foster a community of ML enthusiasts within Ericsson
The skills you bring:
* DevSecOps
* Business understanding
* Artificial Intelligence Systems
* Software Engineering
* Data Management
* Ericsson BI and Analytics
* Open-Source Programming
* Data Preprocessing
* Statistics
* Cloud Development
* Machine Learning Algorithms
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