Principal Data Scientist

Principal Data Scientist

Bank of Montreal

Chicago, IL • On-site

$122.40K - $228K/yr

Full-time, Part-time

Medical, Life, Retirement

Posted 8 days ago


Job description

Application Deadline:
Address:
320 S Canal Street
Job Family Group:
Data Analytics & Reporting
The role is hybrid based in our Chicago office.
Job Description
Uses 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. 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.
  • Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
  • Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
  • Ensures alignment between values and behaviours that fosters diversity and inclusion.
  • Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Qualifications:
Advanced level of proficiency:
  • Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
  • 5+ years of data science experience.
  • In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
  • Data visualization and polished communication skills.
  • Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
  • Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
  • Trust, bias and ethics.
  • Collaboration & team skills; with a focus on cross-group collaboration.
  • Able to manage ambiguity.
  • Data driven decision making.
  • Experience with GenAI LLM models
  • Experience with MLOps, building workflows for model retraining, monitoring and deploying
  • Experience with ML frameworks such as TensorFlow, PyTorch
  • Experience with cloud-based data platforms such as AWS or Azure
  • Experience with data visualization tools such as Power BI

Salary:
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO 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: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At 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. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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About BMO

Sourced by ZipRecruiter

BMO, or Bank of Montreal, is one of the biggest multinational banking and financial services corporations in North America. Developed in 1817, BMO's American headquarters are located ideally in Chicago, Illinois while its main world headquarters are situated in Montreal. The bank operates in a multitude of sectors including personal and commercial banking, wealth management and investment banking products and solutions. Over the years, BMO has been recognized for its commitment to doing what's right for its customers, employees, and society.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

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Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Scientist?

A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.

Q: What is the career path for a Data Scientist?

A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.



Bank of Montreal job posting for a Principal Data Scientist in Chicago, IL with a salary of $122,400 to $228,000 Annually and benefits including Medical, Life, and Retirement with a map of Chicago location.