Senior Data Scientist

We are looking for a talented individual to join our team in the position of Senior Data Scientist, Wealth Data Science. You'll work closely with many of our business partners and play a crucial role in leveraging data to make strategic business decisions (using techniques like machine learning, statistical modeling, causal inference, optimization, etc.)Key Accountabilities: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.Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.Qualifications:Minimum Requirements:2-8+ years of data science/quantitative modeling experienceProficiency in SQL and a computing language such as PythonStrong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentationExperience in working with cross-functional teams to deliver resultsAbility to communicate results clearly and a focus on driving impactA demonstrated ability to manage and deliver on multiple projects with a high attention to detailSolid business acumen and experience in synthesizing complex analyses into actionable recommendationsPreferred Qualifications:Experience deploying models in production and adjusting model thresholds to improve performanceExperience designing, running, and analyzing complex experiments or leveraging causal inference designsExperience with distributed tools such as Spark, Hadoop, etc.A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)Salary: $81,600.00 - $151,200.00Pay Type: SalariedBMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Total Rewards.We’re here to helpAt BMO we are 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.To find out more visit us at BMO Careers.BMO is committed to an inclusive, equitable and accessible workplace. Accommodations are available on request for candidates taking part in all aspects of the selection process.About UsBMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. We’re focused on building, investing and transforming how we work to drive performance and continue growing the good.We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. #J-18808-Ljbffr