Data Science Strategist

hace 1 día

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

Job Title: Senior/Manager Data Scientist

About the Role:

We are seeking a highly skilled Senior/Manager Data Scientist to join our team at Publicis Sapient. As a key member of our data science team, you will play a crucial role in driving our clients' data-driven transformation (DDT) strategy globally.

Key Responsibilities:

  • Collaborate with digital directors, client teams, and practice capabilities to ensure the company leads in digital thinking, execution, and value realization through data-driven solutions.
  • Contribute to the company's industry leadership in AI and machine learning, solving complex marketing and business challenges, and pioneering advanced analytics in areas like healthcare.
  • 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.
  • Use distributed computing systems to ingest, access, and integrate various big data sources.
  • Perform exploratory data analysis, data cleansing, feature generation, and model preparation.
  • Apply quantitative techniques to build predictive models, uncover patterns in data, and build scalable data pipelines for real-time modeling frameworks.
  • Document and visualize your work for both technical and non-technical audiences.
  • Mentor talent, help form best practices, and contribute to data science capability through presentations and thought leadership on AI-related topics.
  • Manage the continuous improvement of data science initiatives, staying updated with state-of-the-art research in the field.
  • Research new opportunities, build proof-of-concept (POC) models, and work closely with leadership to devise strategies for implementing advanced analytics.
  • Work from analytical design to implementation, ensuring quality and timely delivery of engagements with minimal supervision.
  • Collaborate with business teams to operationalize analytics solutions, especially in operational analytics and US healthcare domains, including epidemiology.

Requirements:

  • 5-12 years of experience in the analytics industry.
  • 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: including 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, 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.
  • Prior experience in research or publications in the data science field is highly preferred.
  • Great interpersonal and communication skills, with the ability to work closely with senior stakeholders in a fast-paced environment.

What We Offer:

  • Opportunity to work with a world-class data science team.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.
  • Competitive salary and benefits package.

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