Solution Data Scientist

Job Description

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. This job was posted by Alyma Khan from AiDASH.