AiDash - Solution Data Scientist - Python

<p><p><b>How you'll make an impact : </b><br/><br/>- Extract, clean, and analyze large datasets from multiple sources using SQL and Python/R.<br/><br/>- Build and optimize data scraping pipelines to process large-scale unstructured data.<br/><br/>- Perform statistical analysis and data mining to identify trends, patterns, and anomalies.<br/><br/>- Develop automated workflows for data preparation and transformation.<br/><br/>- Conduct data quality checks and implement validation procedures.<br/><br/>- Build and validate ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas.<br/><br/>- Apply feature engineering to enhance accuracy and interpretability.<br/><br/>- Execute experiments, apply cross-validation, and benchmark model performance.<br/><br/>- Collaborate on A/B testing frameworks to validate hypotheses.<br/><br/>- Work on predictive analytics for wildfire risk detection and storm damage assessment.<br/><br/>- Translate complex business requirements into data science solutions.<br/><br/>- Develop predictive models and analytical tools that directly support CRIS decision-making.<br/><br/>- Create interactive dashboards and automated reports for stakeholders.<br/><br/>- Document methodologies and maintain clean, production-ready code repositories.<br/><br/><b>What we're looking for : </b><br/><br/>- 4 to 5 years of hands-on experience in data science, analytics, or quantitative research.<br/><br/>- Bachelors degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field.<br/><br/>- Strong programming skills in Python for data analysis and machine learning.<br/><br/>- Proficiency in SQL and experience with relational databases.<br/><br/>- Experience with ML libraries (scikit-learn, pandas, NumPy, Keras, TensorFlow).<br/><br/>- Knowledge of statistical methods (clustering, regression, classification) and experimental design.<br/><br/>- Familiarity with data visualization tools (matplotlib, seaborn, ggplot2, Tableau, or similar).<br/><br/>- Exposure to cloud platforms (AWS, GCP, Azure) is a plus.<br/><br/>- Proven experience with end-to-end model development (from data exploration to deployment).<br/><br/>- Track record of delivering actionable insights that influenced business decisions.<br/><br/>- Strong analytical and problem-solving skills with attention to detail.<br/><br/>We are proud to be an equal-opportunity employer.<br/><br/>We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.<br/><br/>We are committed to providing an inclusive and accessible interview experience for all candidates.<br/><br/>Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.</p><br/></p> (ref:hirist.tech)