Data Science Leader

hace 1 semana

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

Data Science Leadership Role

**Job Summary**

We are seeking a highly skilled Data Science Leader 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 data-driven transformation strategy globally.

**Key Responsibilities**

* Collaborate with digital directors, client teams, and practice capabilities to accelerate and drive the data-driven transformation strategy
* 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
* 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

**Nice to Have**

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

**What We Offer**

* Opportunity to work with a world-class Data Science team
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Competitive compensation and benefits package

**How to Apply**

If you are a motivated and experienced Data Science professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information].

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