Senior Data Scientist

Responsibilities

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients' business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns, and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Explore information from multiple diverse sources, analyzing data and gaining insights into actionable business intelligence
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

Requirements

• Degree in Computer Science, Computer Engineering, or a related field
• Over 8 years of expertise in Data Science and Data Analytics
• Strong understanding of programming languages such as Python, R, or SQL
• Proficiency in statistical analysis, machine learning algorithms, and data visualization techniques
• Excellent leadership and team management skills, with the ability to motivate and inspire a team of data scientists
• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders
• Proven track record of successfully leading and delivering data science projects and initiatives
• Experience working Agile and DevOps; familiar with DataOps
• Must be able to work collaboratively with cross-functional, cross-geographical teams to analyze and understand business needs
• Good oral and written English: ready to present to a technical audience
• 3 Positions available