Data Science Manager, Enterprise Analytics & AI

Equus; Louisville (KY); Presencial; USD 100.000 - 170.000; Jornada completa

Descripción de la vacante

Equus is seeking a Manager of Data Science to lead enterprise analytics, translate complex data into actionable insights, and partner with Finance, Procurement, Legal and Operations to drive performance visibility. The role combines coding, BI, and AI-enabled analytics to automate processes and deliver impactful business recommendations.

The ideal candidate will frame problems, perform advanced analytics, and communicate findings to non-technical leaders, fostering a data-driven culture across

Formación

• Bachelor’s degree in a quantitative field.
• 3+ years in data science, analytics, BI, or related field.
• Proficiency in Python or R and SQL.
• Power BI dashboards development experience.
• Statistical methods and analytical problem solving.
• Working with multiple data sources and data cleaning.

Responsabilidades

• Frame ambiguous business questions as structured analytical problems and execute end-to-end analyses.
• Perform descriptive, diagnostic, predictive, and prescriptive analyses to identify drivers and risks.
• Develop dashboards and visualizations to surface trends and risks for executives.
• Automate data preparation, quality checks, and recurring analyses.
• Collaborate with Finance, Procurement, Legal and Operations to deliver analytical solutions.

Conocimientos

Python

SQL

Power BI

Educación

Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Engineering, or a related quantitative discipline

Master’s degree or other advanced degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Business Analytics, or a related quantitative field

Herramientas

Power Query

DAX

M

Descripción del empleo

Equus is seeking a Manager of Data Science to lead enterprise analytics, translate complex data into actionable insights, and partner with Finance, Procurement, Legal and Operations to drive performance visibility. The role combines coding, BI, and AI-enabled analytics to automate processes and deliver impactful business recommendations.

The ideal candidate will frame problems, perform advanced analytics, and communicate findings to non-technical leaders, fostering a data-driven culture across