Data Scientist ML

As a Data Scientist in our team, you will be responsible for the following: - Partnering with cross-functional stakeholders to identify high-impact data science use cases and assess their feasibility and business value. - Extracting, transforming, and analyzing data from multiple sources including operational, maintenance, and sensor data to uncover patterns, anomalies, and root causes. - Building, testing, deploying, and monitoring machine learning and statistical models for prediction, classification, and forecasting applications. - Maintaining and enhancing existing model deployments to ensure continued accuracy and relevance in production environments. - Reviewing and improving existing reports and dashboards while developing new reporting solutions as business needs evolve. - Presenting analytical findings and model outcomes clearly to stakeholders and organizational leaders across different departments. - Championing data science best practices and fostering knowledge-sharing across teams to improve overall analytical capabilities. **Qualifications Required:** - At least 2+ years of experience in modeling and machine learning required. - Proven comfort working with very large datasets and hands-on knowledge in predictive modeling. - Bachelor's degree in Quantitative field like Math, Statistics, Operations Research. Master's degree preferred. If you are looking for a challenging role where you can utilize your expertise in machine learning, statistical modeling, and data analysis, this opportunity is perfect for you. Join our team and contribute to impactful data-driven decisions. As a Data Scientist in our team, you will be responsible for the following: - Partnering with cross-functional stakeholders to identify high-impact data science use cases and assess their feasibility and business value. - Extracting, transforming, and analyzing data from multiple sources including operational, maintenance, and sensor data to uncover patterns, anomalies, and root causes. - Building, testing, deploying, and monitoring machine learning and statistical models for prediction, classification, and forecasting applications. - Maintaining and enhancing existing model deployments to ensure continued accuracy and relevance in production environments. - Reviewing and improving existing reports and dashboards while developing new reporting solutions as business needs evolve. - Presenting analytical findings and model outcomes clearly to stakeholders and organizational leaders across different departments. - Championing data science best practices and fostering knowledge-sharing across teams to improve overall analytical capabilities. **Qualifications Required:** - At least 2+ years of experience in modeling and machine learning required. - Proven comfort working with very large datasets and hands-on knowledge in predictive modeling. - Bachelor's degree in Quantitative field like Math, Statistics, Operations Research. Master's degree preferred. If you are looking for a challenging role where you can utilize your expertise in machine learning, statistical modeling, and data analysis, this opportunity is perfect for you. Join our team and contribute to impactful data-driven decisions.