Junior Data Scientist

Key Responsibilities:

• Data Collection and Cleaning: Gather data from various sources, clean, and preprocess it to ensure high-quality inputs for analysis.
• Data Analysis and Modeling: Assist in developing and implementing machine learning models to predict trends and patterns in air freight data.
• Data Visualization: Create interactive dashboards and reports to communicate insights effectively to stakeholders.
• Liaising with data provides and clients.
• Collaboration: Work closely with the data engineering team to design and implement data pipelines, ensuring data integrity and availability.
• Problem Solving: Identify and resolve data quality issues, optimize data processing workflows, and improve model performance.
• Communication: Present findings and insights to both technical and non-technical audiences, contributing to data-driven decision-making.

Required Skills:

• Programming Skills: Proficiency in Python, with experience in libraries such as NumPy, SciPy, Pandas, and Matplotlib.
• Data Management: Knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL)
• Machine Learning: Familiarity with machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow).
• Data Visualization: Experience with visualization tools like Tableau, Power BI, or D3.js.
• Communication: Strong interpersonal and presentation skills.
• Education: Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field.

Preferred Skills:

• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience with version control systems like Git.