Data Scientist
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Job Description
About Company:
Lensa is a U.S. career site that helps job seekers discover job opportunities. It is not a staffing firm or agency, but rather promotes jobs on behalf of its clients, including employers, recruitment agencies, and marketing partners.
BMO is driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
Job Description:
This is a hybrid role at BMO Financial Group.
The Data Scientist will use advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. They will design and construct new processes for modeling data, develop predictive models, and leverage big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. The Data Scientist will collaborate with other data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions.
Key Responsibilities:
• Play an active role in the futuristic display of data and advancement of innovative data strategies to understand consumer trends and address business problems.
• Use 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.
• Conduct large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Use analysis to provide recommendations and advice for business leaders to maintain market competitiveness.
• Develop prediction systems and machine learning algorithms.
• Investigate additional technologies and tools for developing innovative data solutions for business stakeholders.
• Collaborate with the product team and partners to understand and provide data-driven decision-making, business planning, and future roadmap.
• Identify, diagnose, and solve problems within given rules.
• Work independently on a range of complex tasks.
Qualifications:
• Foundational level of proficiency: Deep learning, Machine learning, Trust, bias and ethics, Creative thinking, Critical thinking.
• Intermediate Level Of Proficiency: Mathematics, statistics & operations research, Big data, Data visualization, Computational thinking and programming, Data wrangling, Data preprocessing, Complex problem solving, Analytical acumen, Creative reasoning, Verbal & written communication skills, Collaboration & team skills, Analytical and problem-solving skills, Influence skills, Data-driven decision making.
• Typically between 1-2 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Technical proficiency gained through education and/or business experience.
• Must have experience with: Machine Learning, Coding in Python, SQL, AWS, and have a passion for problem-solving.
