Data Science Leader for AI and Machine Learning Innovation

hace 1 mes

Bogotá, Bogotá D.E., Colombia Publicis Sapient A tiempo completo

Unlock Business Potential with Data-Driven Insights

The Senior/Manager Data Scientist will play a pivotal role in driving data-driven transformation globally by accelerating and executing the DDT strategy. Collaborating with digital directors, client teams, and practice capabilities, this individual will ensure Publicis Sapient leads in digital thinking, execution, and value realization through data-driven solutions.

Your Impact:

  1. Contribute to world-class Data Science team initiatives, supporting AI and machine learning projects, building cutting-edge research, and modeling.
  2. Solve complex business challenges by accessing, integrating, manipulating, mining, and modeling various data sources.
  3. Develop new proof-of-concepts for business applications, reframe client business questions into data science deliverables, and contribute to creating data science roadmaps.
  4. Collaborate with internal and external stakeholders to establish objectives, deliverables, and timelines.
  5. Apply quantitative techniques to build predictive models, uncover patterns in data, and build scalable data pipelines for real-time modeling frameworks.
  6. Document and visualize work for both technical and non-technical audiences, mentor talent, and help form best practices.

Qualifications:

Your Skills & Experience:

  • Graduate degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, or related fields.
  • Strong foundation in statistical concepts and Machine Learning techniques: time series forecasting, regression techniques, logistic regression, ARIMA, clustering, classification, decision trees, among others.
  • 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.
  • Able to translate complex analytics output into actionable business recommendations and insights.
  • Prior experience in research or publications in the data science field is highly preferred.

What Sets You Apart:

  • 5-12 years of experience in the analytics industry.
  • Working experience with advanced techniques such as GBM, NLP, and NoSQL databases.
  • Experience with tools like Hive, Spark, and Teradata.
  • Understanding of mainstream machine learning frameworks such as TensorFlow, PyTorch, ConvNet.
  • US healthcare domain expertise, particularly in operational analytics and epidemiology.

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