Designation: Data Scientist Engineer
Oportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of duct development, marketing techniques, and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, targeting, and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomesAssure that all aspects of method development, validation, troubleshooting, and laboratorycompliance procedures are in accordance with regulatory guidelines.
• Operation, calibration, and maintenance of instruments and equipment according to SOPs.
• Reviews and may evaluate other chemists' data and results.
• Develops and validates analytical methods; coordinated methods and technical transfers.
• Contribute towa
• Trend stability data and shelf-life experience.
• Able to evaluate, interpret and communicate analytical data.
• Excellent interpersonal skills and ability to work effectively in a team environment.
• Excellent communication skills (written and verbal).
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and drawinsights from large data sets.
0 - 2 years of work experience in data analysis, or market research required Fluent Tableau skills required Excellent knowledge of standard analytical laboratory equipment, instrumentation, and associated software.• Able to work in an organized manner, with attention to detail, and excellent documentation practices.• Able to troubleshoot and problem-solve using analytical instrumentation, and scientific judgment.Experience using statistical computer languages (R, Python, SQL etc.) to manipulate sights from large data sets.