Data Scientist

Job Summary

A Data Scientist job description typically outlines the role's responsibilities, which include collecting, analysing, and interpreting data to extract insights that can inform business decisions and improve operations. Data Scientists use programming, statistical analysis, and machine learning techniques to uncover patterns, build predictive models, and communicate to Stakeholders. Candidates must demonstrate proficiency in script-based solutions.

Key Responsibilities:

• Data scientists use statistical methods to collect and organize data. Problem-solving skills.
• Data scientists must devise solutions to the problems they encounter in data collection and cleaning and in developing statistical models and algorithms.
• Gather data from multiple sources and prepare it for analysis.
• Analyse large volumes of structured and unstructured data to identify trends and patterns.
• Develop machine learning models and predictive algorithms to solve business problems.
• Use statistical techniques to validate findings and ensure accuracy.
• Create clear, engaging visualizations and reports to communicate results.
• Work closely with different teams to apply data-driven insights.

Required Skills & Qualifications:

• Bachelor’s degree in data Analytics, Information Systems, or a related field.
• 5-8 years of experience in a Business Analyst or Data Analyst role (SFIA level 3-4)
• Proficiency in Phython, C++
• Proficiency in AWS Bedrock and GCPVertox
• MLops scalability and model Development
• Experience with containerization(Docker).
• Excellent communication - both visual and verbal.
• Ability to collaborate with business stakeholders with proactivity and cross-functional collaboration capabilities.