Data Scientist

Job Description

Responsibilities • Statistical Modelling and Machine Learning: Develop predictive models and algorithms to support business decision-making, optimize operations, and enhance customer experiences. • Data Mining and Analysis: Perform complex data analysis to extract actionable insights from various data sources, including structured and unstructured data. • Data Pipeline Development: Build and maintain robust data pipelines for efficient data collection, ingestion, processing, and distribution. This often involves ETL (Extract, Transform, Load) processes and data integration from various sources. • Ensuring Data Quality and Integrity: Implement data validation and cleaning processes to ensure accuracy and consistency of data. • Monitoring and Logging: Implement monitoring and logging solutions for data science applications to ensure performance and identify issues quickly. • Data Visualizations: Create intuitive visualizations and comprehensive reports to communicate findings and recommendations to stakeholders. • Collaborative Model Development: Work closely with other data scientists and stakeholders to integrate data science models into the production environment, ensuring seamless deployment and scalability. Required skills and qualifications • 3-5 years of hands-on experience in data science and machine learning, with a focus on statistical modeling and predictive analytics. • Strong programming skills in Python, with experience in machine learning libraries such as scikit-learn, XGBoost, and Prophet. • Proficient in SQL for data extraction, transformation, and analysis. • Experience with EDA, feature engineering and ML. • Familiarity with transformer-based models. • Good Analytical skills Preferred skills and qualifications • Bachelors degree (or equivalent) in statistics, applied mathematics, or related discipline. • Two or more years of project management experience • Professional certification