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The skills you bring:
We have retired this page. Please join us over at our new Ericsson Enterprise Wireless Solutions profile as we continue our journey: https://www.linkedin.com/showcase/ericsson-enterprise-wireless/ * * * We enable the freedom to securely connect people, places, and things that drive more experiences, new ways to work, and better business results — anywhere. We are a pioneer in advanced 4G and 5G routers and adapters for Wireless WAN — controlled through Cradlepoint NetCloud — and offer a range of solutions for private cellular networks and application, data, and network security. Enterprises and public sector agencies rely on our Cellular Intelligence to securely connect fixed and temporary sites, vehicles, IoT devices, and remote employees. Headquartered in Boise, Idaho, Cradlepoint is a wholly owned subsidiary of Ericsson and part of its Business Area Enterprise Wireless Solutions. We have international offices in Asia Pacific, Canada, Europe, India, and Latin America.
Job ID: 122811793
Skills:
Excellent analytical and problem-solving abilities, Strong data visualization and storytelling skills, Experience working in Agile environments, Ability to work independently and collaboratively, Life sciences industry experience preferred
Skills:
Cloud Storage, Git, XGBoost, Random Forest, Python, Sql, Big Query, LightGBM, GenAI workflows, CatBoost, LLM techniques
Skills:
Data Science, Alteryx, Powerbi, Spark, Tableau, Sql, Python, Cloud solutions, AI techniques
Skills:
Sql, Python, audience segmentation, supervised machine learning, Bayesian approaches, meta analysis, marketing mix modeling, Root Cause Analysis, automated analytics pipelines, R, unsupervised machine learning, modeling frameworks, geo experiments, Marketing Analytics, Experimental Design, propensity modeling
Skills:
probability , Customization, Numpy, Nlp, Pytorch, Flask, Python, Ml, Redis, Sql, Deep Learning, Django, MLops, Pandas, FastAPI, scikit-learn, multimodal systems, Hugging Face Transformers, MLflow, embedding-based retrieval, Dash, large language models, Streamlit, SpaCy, TF 2, fine-tuning, Transformers, GNNs, R-Shiny, prompt engineering, Statistics
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