Data Science Innovation Leader
hace 1 día
**Job Description Summary:**
The Data Science Innovation Leader is responsible for driving data projects and providing technical expertise at Havas.
Responsibilities:
• Collaborate with the Global Data Director, Global Data Managers, and IT Developers to implement data algorithms and platforms across multiple markets.
• Develop innovative data products using Generative AI and test/learn best-in-class technology.
• Support the Product team in aligning business requirements with functional and technical specifications.
• Work efficiently to complete projects as a team and assist in automation.
• Provide data expertise and work closely with internal Product Directors/Managers, Data science teams, and other Havas technical teams.
Functional Requirements:
• Agile development to produce multiple POCs and MVPs every quarter, leading innovation and scaling an MVP to industrialize use in Havas' data products involving data science and automation.
• Ability to organize and coordinate with internal and external IT and business personnel.
• Provides functional expertise applied to data and solutions around insights, media planning, and activation.
• Brings good sense and expertise to review and align business and data processes with formalization and communication.
• Extract value from alignment to identify tasks that could be automated and enhance the process to fluidify synergies between applications.
Technical & Data Expertise:
• Provides data expertise in the use of data algorithms and Python apps (with front-end being a nice-to-have).
• Ability to automate and schedule data projects on Databricks/cloud.
• Ability to incorporate AI into data products.
• Ability to automate data preparation and exploration before modeling in Python.
• Actively work with the Product & Measurement team to support the use and overlap of ID (3rd party data) and Non-ID (panel) text-based database with algorithms built on Python.
• Actively work with the Product team and contribute to definition, specification, validation, and implementation of user cases using client data (e.g., prediction of intention to buy, segmentation, etc.).
• Provides functional and technical specification with architecture for project tasks.
Estimated Salary Range:
$80,000 - $110,000 per year based on experience and location.
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