Principal Data Scientist

🔥 4 minutes ago

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $148.7k - $223.1k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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TD

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1855

🏦 Banking

💸 Finance

🛡️ Insurance

💰 Grant on 2023-10

Banking • Finance • Insurance

TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.

📋 Description

• The Principal Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling, and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. • Collaborate with business partners to identify and refine business strategies, analyze alternative deal structures and deliver business P&L expectations • Own end-to-end decisioning and pricing optimization engine, use large-scale historical and market data to form hypotheses, conduct analyses, develop machine learning models, evaluate and implement model and drive business decisions • Analyze large-scale data and apply statistical models to recommend insights and solve business objectives.

🎯 Requirements

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) • Graduate's degree preferred with either progressive project work experience, or; 10+ year of relevant experience; higher degree education and research tenure can be counted • Uses a wide range of programming languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data • Familiar with the business context and data infrastructure and can translate business problems to viable data science solutions • Collaborates with business partners to identify and refine business strategies, analyze alternative deal structures, and deliver business P&L expectations

🏖️ Benefits

• health and well-being benefits • savings and retirement programs • paid time off (including Vacation PTO, Flex PTO, and Holiday PTO) • banking benefits and discounts • career development • reward and recognition