Solution Data Scientist

Responsibilities

• Extract, clean, and analyse large datasets from multiple sources using SQL and Python/R.
• Build and optimise data scraping pipelines to process large-scale unstructured data.
• Perform statistical analysis and data mining to identify trends, patterns, and anomalies.
• Develop automated workflows for data preparation and transformation.
• Conduct data quality checks and implement validation procedures.
• Build and validate ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas.
• Apply feature engineering to enhance accuracy and interpretability.
• Execute experiments, apply cross-validation, and benchmark model performance.
• Collaborate on A/B testing frameworks to validate hypotheses.
• Work on predictive analytics for wildfire risk detection and storm damage assessment.
• Translate complex business requirements into data science solutions.
• Develop predictive models and analytical tools that directly support CRIS decision-making.
• Create interactive dashboards and automated reports for stakeholders.
• Document methodologies and maintain clean, production-ready code repositories.
  

Requirements

• 4-5 years of hands-on experience in data science, analytics, or quantitative research.
• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field.
• Strong programming skills in Python for data analysis and machine learning.
• Proficiency in SQL and experience with relational databases.
• Experience with ML libraries (scikit-learn, pandas, NumPy, Keras, TensorFlow).
• Knowledge of statistical methods (clustering, regression, classification) and experimental design.
• Familiarity with data visualisation tools (matplotlib, seaborn, ggplot2 Tableau, or similar).
• Exposure to cloud platforms (AWS, GCP, Azure) is a plus.
• Proven experience with end-to-end model development (from data exploration to deployment).
• Track record of delivering actionable insights that influenced business decisions.
• Strong analytical and problem-solving skills with attention to detail.