Lead Data Scientist

Responsibilities

• Coordinate T&D Data Science team across Latam region
• Be a Data Science business partner for Managing Directors/President, Commercial, Product, Technology, Local and Regional leaders to contribute their objectives including revenue, productivity, EBITDA and other objectives in T&D Business
• Meet with clients to understand strategic business needs, communicate internally and offer innovative solutions driven through state of the art methodologies in Data Science.
• Partner with other global data science and technology leaders to enable new solutions.
• Collaborate with other Data Science leaders units to deliver and prioritize objectives.
• Develop team & talent strategy to drive the vision of the Data Science organization.
• Plan and prioritize key initiatives linked to T&D business for countries across the cluster in alignment with clusters business leaders.
• Supporting senior DBLs for global escalated T&D issues and complex matters.
• Stay connected to internal/external Data Science community to learn the newest Data Science & Technology solutions to be able to bring them to the market

Requirements

• 6+ years of experience in market research or relevant field.
• Solid understanding of Tech & Durables Industry and Retail market impact on client's business within the market.
• Professionals with degrees involving subjects in statistical and maths.
• Essential soft skills qualifications
• Passionate about people, innovation and technology
• Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.
• Innovative mindset, creativity, thinking out-of-the-box.
• Excellent in conveying effectively complex concepts to non-experts in business language
• Strong leadership skills
• Strong Business acumen, consultative skills, and empathy for clients
• Great Problem-Solving skills
• Intellectual curiosity and persistence to find answers to questions
• Great collaborative and interpersonal skills to communicate at all levels, especially with country and global leaders.
• Ability to set priorities in alignment with business needs
• Great command of written and spoken English
• Excellent in making decisions and successfully manage multiple assignments concurrently in a high-pressure environment
• Eager to continuously learn and adapt to changing technologies and tools.
• Analytical and Technical skills:
• Solid understanding of Statistics
• Strong aptitude for data analysis.
• Solid critical/ logical thinking.
• Strong Business acumen, finance and budgeting knowledge
• Familiar with contemporary open source tools and technologies such as Python and R.
• Preferred Qualification
• Experienced in data visualization tools (e.g. Spotfire, Tableau, etc) and mapping tools.
• Working knowledge with collaboration Microsoft tools, Atlassian,Git, Bitbucket and Confluence.
• Familiar with Machine Learning.
• Familiar with Cloud computing such as AWS, GCP, Microsoft Azure, etc.
• Working experience with Nielsen systems/products. (for internal-it is required)
• Working experience with contemporary database systems.
• Familiar with Project Management.

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