Description

You will apply critical thinking to perform advanced analytics and solve complex business problems. You will generate deep insights from data, understand business processes, and turn findings into actionable recommendations. You own the full modeling lifecycle: defining objectives, selecting methodologies, performing quantitative and statistical analysis on large datasets, and communicating results. You act as a trusted advisor in statistical, optimization, or machine learning disciplines. You present analytical findings and exercise influence among key stakeholders.

This role is on-site.

Responsibilities

• Perform advanced quantitative and statistical analysis of large datasets to solve multi-faceted business problems.
• Own the full modeling lifecycle, from defining key decision variables to choosing appropriate methodologies.
• Communicate results and present analytical findings to key project stakeholders.
• Act as a subject matter expert and trusted advisor in statistical, optimization, or machine learning modeling.
• Turn data insights and business process understanding into actionable recommendations.

Required Skills

• 5+ years of experience in data analysis and engineering.
• Proficiency in Python for data manipulation and analysis.
• Experience with Azure ML Services.
• Strong background in statistics, optimization, or machine learning modeling.
• Ability to perform advanced quantitative analysis on large datasets.
• Excellent oral and written communication skills.

Preferred Skills

• Advanced degree (Master's or Ph.D.) in Statistics, Data Science, Engineering, Computer Science, Operational Research, Mathematics, or equivalent.

Key Skills

Education

Bachelor's degree