Sr. Data Scientist (Controls Machine Learning/AI)

at  BMO Financial Group

4100 Gordon Baker Road Toronto Ontario,M1W 3E8

• Mentor and lead junior staff

We are seeking a Senior Data Scientist with extensive experience working in an enterprise level environment. Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze massive sets of structured and unstructured data to obtain insights.

Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

• 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Enterprise level banking experience
• Data wrangling & the ETL/ability to structure hundreds of millions of data records and turning them into actionable insights
• Python/SQL/AWS SageMaker/JavaScript
• Strong foundation in BI & Story Telling i.e. Power BI, Tableau
• Optimization and automation of data analytics and data science processes
• ServiceNow, Hadoop or IDP working experience is a plus
• Self starter and the ability to solution on your own
• Mentorship, teaching others to learn and grasp new concepts
• Adaptability to rapid reprioritizations

Please refer the Job description for details