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hace 2 meses
The Senior/Manager Data Science will play a pivotal role in driving Publicis Sapient's data-driven transformation strategy globally. This role will 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.
Your Impact:
- Contribute to the development 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, driving business growth and revenue.
- Research and develop new proof-of-concepts (POCs) for business applications, leveraging data science to inform business decisions.
- Reframe client business questions into data science deliverables and contribute to creating data science roadmaps, aligning with business objectives.
- Collaborate with internal and external stakeholders to establish objectives, deliverables, and timelines, ensuring seamless project execution.
- Utilize distributed computing systems to ingest, access, and integrate various big data sources, driving data-driven insights.
- Perform exploratory data analysis, data cleansing, feature generation, and model preparation, ensuring high-quality data.
- Apply quantitative techniques to build predictive models, uncover patterns in data, and build scalable data pipelines for real-time modeling frameworks, driving business outcomes.
- Document and visualize your work for both technical and non-technical audiences, ensuring effective communication.
- Mentor talent, help form best practices, and contribute to data science capability through presentations and thought leadership on AI-related topics, driving innovation.
- Manage the continuous improvement of data science initiatives, staying updated with state-of-the-art research in the field, ensuring Publicis Sapient remains at the forefront of data science.
- Research new opportunities, build POC models, and work closely with leadership to devise strategies for implementing advanced analytics, driving business growth.
- Work from analytical design to implementation, ensuring quality and timely delivery of engagements with minimal supervision, driving business results.
- Collaborate with business teams to operationalize analytics solutions, especially in operational analytics and US healthcare domains, including epidemiology, driving business impact.