Senior Data Scientist

We are looking for exceptional talent to join our data team. Currently, we have an exciting opportunity for a Data Scientist. We are seeking individuals with deep expertise in data science, a proactive approach, strong collaboration skills, and a passion for cultivating a positive and forward-thinking work environment.

ROLES & RESPONSIBILITIES

• Collaborate with IT and data management teams to ensure the accurate and timely collection of data related to all commercial activities within the airport.
• Develop and implement sophisticated ETL processes integrating diverse data sources.
• Design and execute complex data models using statistical and machine learning techniques.
• Lead analytics projects with Azure Data Lake, Azure Databricks, Data Warehouse, and Power BI.
• Manage, mentor, and grow a team of data scientists and BI developers.
• Spearhead the integration of advanced analytics into strategic planning, enhancing forecasting accuracy and market response.
• Collaborate with business units to translate complex data insights into actionable business strategies.
• Champion the use of data science in identifying new business opportunities and revenue streams.
• Act as a bridge between the data analytics team and commercial stakeholders, ensuring that data-driven recommendations are actionable and aligned with business objectives.
• Explore the use of artificial intelligence (AI) and big data solutions to improve the airport’s commercial decision-making processes.
• Stay updated on the latest trends and developments in data analytics and technology to ensure the airport remains at the forefront of innovation
• Conduct end-to-end data analysis, modelling, and experimentation using Databricks’ unified data analytics platform.
• Apply advanced statistical methods, machine learning, and AI algorithms to solve complex business problems.
• Build and optimize data science models to support business decisions and operational improvements.
• Collaborate with data engineers to design and maintain efficient data pipelines, ensuring data quality and integrity.
• Use Databricks for building scalable, distributed data processing workflows and transforming large datasets for analysis.
• Optimize workflows for big data applications and automate recurring data tasks.
• Work closely with data engineering, product, and business teams to translate business requirements into data-driven solutions.
• Lead discussions on best practices and the integration of Databricks for different teams across the organization.
• Foster a collaborative environment by sharing insights and promoting data science across departments.
• Design, develop, and implement machine learning models using Databricks to improve decision-making processes.
• Leverage Databricks' Machine Learning Runtime for tracking, optimizing, and deploying machine learning models.
• Ensure scalability and performance of models in production, including real-time scoring and retraining.

Technical skills required

• Natural Language Processing (NLP) deployment
• Machine Learning (Azure Databricks)
• ML experiments and training
• Deployment of production (MLOps)
• Take end to end ownership of all ML features
• Recommendation systems
• AI Software Engineering

EDUCATION AND EXPERIENCE

• A minimum of 6 years of experience in data science, with advanced proficiency in SQL, Python/R, Azure Databricks, Azure Datafactory and BI tools such as Power BI
• Strong fundamental knowledge in machine learning, statistical analysis, and predictive modelling.
• Proficiency in Databricks and Spark for large-scale data processing.
• Strong experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and SQL.
• Expertise in Python, Scala, or R for data science tasks.
• Experience with cloud platforms ( Azure) and Databricks’ cloud infrastructure.
• Excellent problem-solving and analytical thinking.
• Strong collaboration and communication skills.