Develop integrated roadmaps for analytics capability leveraging internal and external resources
Determine strategies for the progression of analytics to align with business focus and priorities
Define and deploy predictive/prescriptive analytic solutions
Evaluate business objectives, determine stakeholder needs and identify requirements
Choose best fit methods, define algorithms, validate and deploy models to achieve business results
Support the end-to-end data feed from source systems to a data warehouse
Create data visualizations to meet customer requirements
Work with the Reliability Engineering and Asset Management team to integrate new data science methodologies into existing and new applications
Develop strategies for integrating legacy systems into next generation systems with AI integration
Support major projects by defining the work scope, estimated cost, and scheduling through the performance of risk analysis using project management tools

Requirements

Bachelor of Science degree from an accredited course of study in engineering, engineering technology, chemistry, physics, mathematics, data science, or computer science
5+ years of experience developing data science algorithms to aid and assist in optimization and predictive analysis
5+ years of experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.)
Extensive data manipulation and analysis experience

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data science algorithmspredictive analysisprescriptive analysisdata manipulationdata analysisdata visualizationrisk analysisproject management

Soft Skills

stakeholder managementstrategic planningproblem-solving

Certifications

Bachelor of Science degree