Data Scientist

Key Responsibilities

• Collect & Prepare Data: Gather data from systems, clean and structure it for analysis tasks accurately and efficiently.
• Build Predictive Models: Develop and train machine learning models to forecast trends or business outcomes using real data.
• Perform Exploratory Analysis: Explore datasets to find trends, patterns, and anomalies that guide business decisions.
• Create Reports & Visualizations: Use charts, dashboards, and visual tools to present results in a simple, understandable way.
• Translate Problems to Solutions: Work with teams to transform business questions into data tasks and analytical solutions.
• Monitor Model Performance: Check models regularly and update or improve them to ensure accurate predictions.
• Collaborate Across Teams: Share insights and work with tech, business, and management teams to apply data findings.

Requirements

• Experience: 3–6 years delivering data science and machine learning projects in real work environments.
• Education: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, or equivalent.
• Technical Skills: Strong in Python, SQL, ML libraries, and data visualization tools.
• Project Controls: Able to plan work, prioritize deliverables and meet timelines on data tasks.
• Leadership: Capable of mentoring junior analysts and guiding data practices.
  
• Commercial Acumen: Understand business context to turn data into actionable insights.