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Data Science Strategist
hace 2 meses
**Job Summary**
As a Senior Data Science Strategist at Publicis Group, you will play a crucial role in driving digital transformation for our clients by accelerating and driving their data-driven strategy. This means collaborating with digital directors, client teams, and practice capabilities to ensure our clients lead in digital thinking, execution, and value realization through data-driven solutions.
**Key Responsibilities**
* Function as part of a world-class Data Science team, supporting various AI and machine learning initiatives, building data science models, and performing cutting-edge research.
* Solve complex business challenges by accessing, integrating, manipulating, mining, and modeling a variety of data sources.
* Research and develop new POCs for business applications.
* Reframe client business questions into data science deliverables and contribute to creating data science roadmaps.
* Collaborate with internal and external stakeholders to establish objectives, deliverables, and timelines.
**Requirements**
* Graduate degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, or related fields.
* Strong foundation in statistical concepts and Machine Learning techniques.
* Proficiency in advanced techniques like RNN, LSTM, GBM, SVM, Random Forest, and State Space Modelling.
* Hands-on experience with Python, SQL, Machine Learning, ML-Flow, and Azure Cloud.
* Experience with solution design, data visualization, data pipelines, model comparison, and evaluation.
* Ability to translate complex analytics output into actionable business recommendations and insights.
**What We Offer**
* 5-12 years of experience in the analytics industry.
* Working experience with advanced techniques such as GBM, NLP, and NoSQL databases.
* Experience with mainstream machine learning frameworks such as TensorFlow, PyTorch, ConvNet.
* Understanding of the US healthcare domain, particularly in operational analytics and epidemiology.