Grow with usOur Exciting OpportunityResponsible 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 leadershipSynthesize problems into data questionsDecide approach for data science projectsDesign and perform data science experimentsDevelop data science infrastructure and toolsTransform data into actionable insightsRepresent the company externallyEnsure seamless transition of AI models from prototype to productionEnhance the reliability and scalability of AI models in productionTo be successful in the role you must have:
Theoretical Knowledge:
Advanced clustering algorithms, including probability density and distribution-based methodsConvolutional Neural Networks (CNN)Recurrent Neural Networks (RNN)TransformersGraph Neural Networks (GNN)Bayesian probabilistic graphical modelsDeep AutoencodersLatest machine reasoning techniquesReinforcement learningGenerative AIApplication of ML/AI:
Clustering of high-dimensional noisy dataAutoencoders for high-dimensional dataGNNs for complex data structuresCNNs for high-dimensional temporal dataRNNs for time series forecastingBayesian networks for causal reasoningAuto learning network structures for probabilistic graphical modelsMLOps principles for productionizing AI modelsFrameworks, Languages, & Skills:
Strong Python programming skills, including object-oriented and scalable codeExperience with JupyterHub and notebooksProficiency with ML frameworks like PyTorch, TensorFlow, Keras, scikit-learnAbility to handle large, high-dimensional data;
knowledge of distributed pipelines is a plusGood data visualization skillsCollaborative skills to work with DevOps teamsEnthusiasm for knowledge sharing and leading initiativesIndependent worker with high energy and persistenceJoin our TeamAbout 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 constraintsBuild predictive models, recommendation engines, anomaly detection, and other ML systemsProficiency in Python, Pyspark, SQL, and cloud-based ML solutionsCollaborate with leaders to define success metrics and develop fitting ML solutionsMentor junior data scientists and foster a community of ML enthusiasts within EricssonThe skills you bring:
DevSecOpsBusiness understandingArtificial Intelligence SystemsSoftware EngineeringData ManagementEricsson BI and AnalyticsOpen-Source ProgrammingData PreprocessingStatisticsCloud DevelopmentMachine Learning Algorithms
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