Roles & Responsibilities

• Create statistical models, machine learning algorithms, and predictive analytics to meet business objectives.
• Analyze complex datasets to gain meaningful insights and make data-driven decisions.
• Design and carry out experiments to test hypotheses and validate model performance.
• Collaborate with data engineers and analysts to create and manage effective data pipeline
• Present findings and insights to stakeholders using data visualisation tools.

Skills and Qualifications

• Bachelor's or Master's degree in mathematics, statistics, computer science, or a related subject Proficient in Python or R.
• Strong SQL skills and knowledge of database structures.
• Experience using machine learning libraries like scikit-learn, TensorFlow, or PyTorch.
• Proficiency in visualization tools such as Tableau, Power BI, and matplotlib
• Capability to manage unstructured data and complex data difficulties.
• Excellent communication and teamwork abilities.