What are the responsibilities and job description for the Data Scientist position at RG&T Solutions?
Role: Lead Data Scientist in the Data Science team, responsible for developing and standardizing statistical models, data pipelines, dashboards, and reports to support decision-making across MRO shops and the global supply chain.
Key Responsibilities: Design and validate advanced analytics models, define data standards, build data pipelines, develop operational dashboards, ensure data quality, and support continuous improvement initiatives. Collaborate with stakeholders to understand needs, translate business questions into data solutions, and promote best practices in analytics and data governance.
Qualifications & Skills: Degree in a quantitative field or equivalent experience, with at least three years in data science or analytics, proficiency in Python/R, SQL, and dashboard tools like Tableau or Power BI. Strong problem-solving, communication, and project management skills are essential, along with experience working with complex datasets and integrating data from various systems.
Additional Attributes: Self-motivated, capable of working in cross-functional teams, and committed to developing sustainable, efficient data processes supporting operational goals.
Key Responsibilities: Design and validate advanced analytics models, define data standards, build data pipelines, develop operational dashboards, ensure data quality, and support continuous improvement initiatives. Collaborate with stakeholders to understand needs, translate business questions into data solutions, and promote best practices in analytics and data governance.
Qualifications & Skills: Degree in a quantitative field or equivalent experience, with at least three years in data science or analytics, proficiency in Python/R, SQL, and dashboard tools like Tableau or Power BI. Strong problem-solving, communication, and project management skills are essential, along with experience working with complex datasets and integrating data from various systems.
Additional Attributes: Self-motivated, capable of working in cross-functional teams, and committed to developing sustainable, efficient data processes supporting operational goals.