Brief Description
The holder of this position will be responsible for managing the data science and engineering team, planning projects, and building analytics models. They should have a strong problem-solving ability and a knack for statistical analysis. The expectation for this role is to have proper understanding of the application of various tools, data mining, methodologies, statistical techniques, algorithms, and machine learning and AI principles to identify trends, patterns, and insights from raw data. The holder will extract meaning from data, uncover insights and identify opportunities to inform business decision making.
Detailed Description
Managing an agile team of data scientists, machine learning engineers and big data specialists.
Leading in modern, secure, and scalable data mining, collection, and consolidation procedures
Leading in evaluation of Machine Learning models to ensure to ensure they achieve over 98% performance.
Delivery of Data Analytics solutions using common data science toolkits, such as Python, SAS, R, SPSS, etc.
Conducting EDA, data extraction, data cleaning and documentation of created models.
Delivering projects within the allocated timeline
Use agile scrum framework in team and projects management.
Job Requirements
Bachelor’s degree in computer science, Data Science or related degree
Proven working experience as a Data Scientist, ML Engineer, and skills as in Big Data Analysis ·
Machine learning skills:
The Senior data scientist must have a deep understanding of machine learning techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
Programming skills:
The person should have strong programming skills in languages such as Python, R, or SQL, which is essential to develop and execute algorithms and models.
Big Data Experience:
The job holder should have experience with big data technologies such as Hadoop, Spark, or NoSQL
Data visualization: Senior data scientists should be able to use data visualization tools to communicate insights to non-technical stakeholders.
Experience in working with Big Data Cloud solutions.
Leadership:
Strong leadership skills to manage and mentor a team of data warehouse engineers effectively (at least 2 years leading teams)
Proper understanding of the Data Life Cycle Management · Strong analytical skills to identify patterns and insights from large and complex data sets.
Excellent communication and collaboration skills to work effectively with cross-functional teams.A
Additional Qualifications ·
Relevant trainings and certifications in Data Science, ML and AI · Experience in complex Data Science projects · Having aviation industry experience is an added experience.
Years of Experience
(Minimum)
Over 8 years’ experience and proven performance in design and implementation of Data Science and Analytics projects (including ML and AI projects), 2 of which were in leadership positions managing teams and project.
Additional Details
Good understanding of Software Development Life Cycle process ·
Good understanding of the Data Management Life Cycle
Good understanding of Data Science methodologies
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