Title:  A.I. Senior Developer

A.I. Senior Developer

What this role is about?

The A.I. Senior Developer role is at the forefront of leading Data Science and Artificial Intelligence initiatives across multiple business functions, including but not limited to Supply Chain, Marketing & Sales, Consumer Care, GRRP, and Finance, with a pivotal focus on Consumer Centricity. This position is instrumental in harnessing the potential of vast datasets to enhance process efficiency and forecasting and to drive smarter management decisions across these diverse areas leveraging the latest in Machine Learning and AI models.

The role needs a combination of business focus, strong analytical/statistical and problem-solving skills. Candidate understands statistical, econometric and machine learning methods to classify, cluster, segment and predict complex questions. With a deep understanding of the business levers, she/he will collaborate with other business functions, data analyst, data engineers and data strategists to specify and drive data opportunities, as well as work with AI providers to source or develop the necessary A.I. capabilities, provide actionable insights and recommendations.

In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized models and computing environments, and communicating results.

What will you do?

• Work with other business functions, data analysts, and data strategists to identify and propose  advanced analytical opportunities with a special focus on customer and consumer experience
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes
• Collaborate with other business functions and markets to select the relevant sources of information
• Partner with external providers of data and data science A.I. to developed tailored solutions
• Define the validity of the information, how long the information is meaningful, and what other information it is related to
• Define the data quality standards in the context of the specific initiatives
• Identify and qualifies where information can be stored or what information, external to the organization may be used in support of the data initiative
• Identify the main features and business drivers needed to optimize the model
• Identify and collects data from all kinds of different sources such as web APIs, internal database, external customer databases, and so on
• Use algorithms  to efficiently go through large datasets and apply treatments, filters and conditions to internal and external data

What are we looking for?

• University Degree in Data Science, Economics, Statistics, Applied Math, Physics, Operations Research, Engineering or a related field
• 5+ years of Business professional experience (with relevant industry experience) focusing on data science and advanced analysis across multinational  organizations
• Passionate about challenging prediction problems, finding insights in data, and applying your conclusions to drive clear and practical business impact
• Proficient in Python and PySpark for data analysis, including libraries specific to data manipulation and statistical modeling
• Solid understanding of SQL queries, data warehousing concepts, and designing star schema or snowflake
• Experience with machine learning techniques for time series forecasting
• Experience working with Git and knowledge of branching strategies
• Experience Working with Azure environment and components (Databricks)
• Expertise in Natural Language Processing both “traditional” (text classification, sentiment analysis, topic modeling) and with experience on Deep Learning and Generative AI techniques
• Experience applying data science methodologies across different domains or willingness to quickly learn and adapt to new industries or sectors
• Creative thinker and propose innovative ways to look at problems by using data mining (the process of discovering new patterns from large datasets) approaches on the set of information available an data science techniques for clustering, predicting and classifying
• Proactive mindset for identifying business problems on their own and proposing, strategizing and implementing data-based solutions delivering added value
• Excellent listening, written, and oral communication skills
• Strong organizational, analytical, and decision-making skills
• Fluency in English is mandatory

What are the next steps – Recruitment Process:

Thank you very much for your interest in the role. You are welcome to apply. We will make sure every candidate will receive a reply within 2 weeks after the application deadline.