Data Scientist

Responsibilities

• Building predictive models with historical financial data and other data.
• Focused on financial analysis and optimization within the Finance Transformation team.
• Expected to take on initiatives and demonstrate leadership skills.
• Emphasis on predicting analytics with relatively straightforward models.
• Conduct data Analysis and Modeling
• Analyze and optimize financial processes within the team.
• Manage and analyze datasets with limited variables.
• Act as the primary point of contact (POC) during the summer project, collaborating with five consultants.
• Oversee the proof-of-concept model development during the summer program
• Understand and integrate project requirements to facilitate swift model building and training.
• Maintain data and accuracy through effective data management practices and governance.
• Generate strategic insights and create comprehensive reports to support decision-making
• Engage in continuous learning to stay updated with the latest advancements in data analysis, predictive modeling, and financial technologies.

Required Skills

• Strong analytical skills with proficiency in Python, R, SQL, and data visualization tools.
• Solid understanding of finance principles and experience with statistical analysis, machine learning, and predictive modeling.
• Excellent communication skills to translate complex findings for non-technical stakeholders.
• Ability to work effectively in cross-functional teams and manage multiple tasks in a fast-paced environment.

Nice to Have

• Bachelor's degree in a quantitative field, masters preferred.
• 3+ years of experience in data science or analytics, with a focus on finance.
• Leadership skills, professional maturity, and experience in finance are important.