
Chief Data Strategist
2 weeks ago
A highly skilled professional is required to collect, analyze and interpret complex data to drive business growth.
Responsibilities:- Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.
- Develop, implement and maintain advanced predictive models and machine learning algorithms to solve complex business problems.
- Collaborate with cross-functional teams to understand their data needs and provide actionable intelligence.
- Design and implement data processing pipelines to collect, clean, and preprocess data for analysis.
- Communicate findings and insights through reports, dashboards, and presentations to stakeholders.
- Stay updated with the latest developments in data science, machine learning, and artificial intelligence.
- Ensure data integrity, accuracy, and security in all data processes.
- Proficiency in Python and its libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, etc.
- Strong experience with data analysis, statistical modeling, and machine learning techniques.
- Experience in data visualization tools like Matplotlib, Seaborn, Plotly, or similar.
- Ability to work with large datasets and databases (SQL, NoSQL).
- Strong problem-solving skills and the ability to think analytically and critically.
- Excellent communication skills to effectively present findings and recommendations to non-technical stakeholders.
- Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 4+ years of experience in data science, analytics, or a related field.
- Proven experience in the aviation industry is an asset.
- Strong proficiency in Python and its data science libraries.
- Experience with cloud platforms (AWS, Azure, GCP) is desirable.
- Excellent communication and presentation skills.
- Strong analytical mindset and attention to detail.
- To excel in this role, you must have a passion for data-driven decision making and a keen eye for innovation.
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