Description

Lead large-scale data science projects involving data transformation and machine learning modeling. Build models and pipelines to support complex analytical needs.

Responsibilities

• Build machine learning models and data transformation pipelines for large-scale projects.
• Develop tools and insights for leadership by balancing data complexity with visualization requirements.
• Automate and streamline project workflows to improve scalability and efficiency.
• Create executive-level presentations and storyboards to communicate recommendations to stakeholders.
• Manage project plans, timelines, and milestones while collaborating with cross-functional teams and FP&A.

Required Skills

• 5+ years of experience in analytics or finance.
• Advanced proficiency in Python, R, and SQL.
• Experience with machine learning algorithms including clustering and logistic regression.
• Hands-on experience with AI software such as Dataiku or DataRobot.
• Expertise in data analytics, financial reporting, and data visualization.
• Advanced skills in MS Office, specifically Excel and PowerPoint.
• Proven ability to manage projects and communicate with senior leadership.
• Bachelor's degree in Data Science or a related subject.

Preferred Skills

• Proficiency in Tableau.
• Experience working within a professional services firm.
• Ability to travel as needed.

Key Skills

Education

Any Graduate