Specialist III-IC Data Sciences

BMO • Chicago, IL

1d • $90,000 - $180,000

About The Position

BMO Bank N.A. seeks a Specialist III-IC Data Sciences to apply advanced analytic algorithms and technologies—including machine learning, deep learning, and artificial intelligence—to mine and analyze large sets of structured and unstructured data for insights. The role designs and constructs new data-modeling processes, develops predictive models, and uses big data technology to create solutions that support smarter business decisions, improve customer experience, and increase productivity.

The Specialist collaborates with data and analytics professionals to optimize, refine, and scale analyses into mature analytics solutions. The role also contributes to innovative data strategies to understand consumer trends and address business problems; evaluates the feasibility of AI/ML solutions using data mining and valuable data sources; conducts large-scale analysis to discover patterns and trends; and develops prediction systems and machine-learning algorithms for business stakeholders.

Requirements

• Bachelor's degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research, or a related quantitative field, or foreign education equivalent, plus five years of experience developing credit risk models and performing advanced data manipulation; alternatively, a master's degree in one of these fields or a related quantitative field, or foreign education equivalent, plus three years of that experience.
• Three years of experience performing data preparation and data analysis using statistical tool sets including SQL, SAS, R, Python, and Tableau.
• Three years of experience developing adjudication and/or account management credit risk models based on consumer and commercial bureaus.
• Experience conducting in-depth analysis of credit bureau attributes and credit bureau data.

Responsibilities

• Use machine learning, deep learning, artificial intelligence, and other advanced analytics technologies to analyze structured and unstructured data.
• Design and construct new processes for modeling data.
• Develop predictive models and use big data technology to create solutions that improve business decisions, customer experience, and productivity.
• Collaborate with data and analytics professionals to optimize, refine, and scale analysis into mature analytics solutions.
• Contribute to innovative data strategies to understand consumer trends and address business problems.
• Mine data and extract usable information from valuable data sources to assess the feasibility of AI/ML solutions.
• Conduct large-scale analytics to discover patterns and trends by combining different modules and algorithms.
• Develop prediction systems and machine-learning algorithms.
• Investigate additional technologies and tools for innovative data solutions for business stakeholders.

Benefits

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans
• Performance-based incentives and discretionary bonuses may be included, depending on pay type.
• Other perks and rewards may be included.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior