Job Summary
We are seeking a highly motivated and analytical Statistician / Data Scientist to join our team. The ideal candidate will have a strong foundation in statistics, machine learning, and data analysis, along with hands-on experience in developing predictive and analytical models. The candidate should be capable of transforming complex data into actionable insights and delivering data-driven solutions to solve business problems.
Key Responsibilities
- Build, validate, and deploy statistical and machine learning models.
- Perform data analysis to identify patterns, trends, and business insights.
- Apply techniques such as classification, clustering, regression, and time-series forecasting.
- Develop analytical applications, dashboards, and visualizations.
- Translate business requirements into analytical solutions and recommendations.
- Document methodologies, findings, and model performance.
- Stay current with advancements in statistics, machine learning, and AI.
Required Qualifications
- Master's degree in Statistics (mandatory).
- Proficiency in Python & R, including relevant machine learning libraries.
- Experience in developing and validating statistical models.
- Knowledge of modern machine learning techniques, including classification, clustering, and time-series forecasting.
- Familiarity with RShiny, Dash, Streamlit, JavaScript, and HTML5 is preferred.
- Excellent analytical, problem-solving, and communication skills.
- Self-driven, able to work independently, and committed to delivering projects on time.
