Manager, Data Science

Key Skills

Data Analysis, Data science techniques, Deep Learning, Machine learning techniques, PowerBI, Python Programming, R Programming, Statistics, Tableau

Job Description

• Own Data Science for a specific-market/industry on new and already established products, services and design.
• Be a Data Science business partner for managing directors, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
• Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.
• Support Client and Commercial teams with Data Science design and methodological questions.
• Play a leading role in the application of data and analytics strategies in support of clients’ business needs.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
• Collaborate and align with other Data Science team units to deliver and prioritize objectives.
• Enable Data Science technology solutions on the ground and ensure solutions meets client needs.
• Leverage Product Enhancement, Product and Technology teams to bring to the market services and solutions.
• Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions.
• Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases.

Qualifications

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 5+ years of experience in market research or relevant field
• Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market.

Soft skills qualifications: 

• Passionate about 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.
• Good ability to effectively convey complex concepts to non-experts.
• Strong Problem-Solving skills
• Intellectual curiosity and persistence to find answers to questions.
• Great collaborative and interpersonal skills to communicate at all levels.
• Ability to set priorities.

Analytical and Technical skills:

• Solid understanding of Statistics
• Strong aptitude for data analysis.
• Solid critical/ logic thinking.
• Business acumen, finance and budgeting knowledge
• Data visualization tools (e.g. Power BI, Tableau, etc) and mapping tools.
• Programming languages such as Python and R.

Preferred Qualification

• Familiar with Nielsen systems/products. (for internal-it is required)
• Familiar with Machine Learning