BMO U.S.

Director, Data Science

BMO U.S.

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California, Illinois • 🇺🇸 United States

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Salary

💰 $164,400 - $285,600 per year

Job Level

Lead

About the role

  • Uses advanced analytical algorithms and technologies 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 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 market competitiveness.
  • Develops prediction systems and machine learning algorithms.

Requirements

  • Typically 9+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
  • Expert level of proficiency in Mathematics, statistics & operations research.
  • Deep learning.
  • Machine learning.
  • Trust, bias and ethics.
  • Creative thinking.
  • Critical thinking.
  • Big data.
  • Data visualization.
  • Computational thinking and programming.
  • Data wrangling.
  • Data preprocessing.
  • Verbal & written communication skills.
  • Analytical and problem solving skills.
  • Influence skills.
  • Collaboration & team skills with a focus on cross-group collaboration.
  • Able to manage ambiguity.
  • Data driven decision making.
Benefits
  • Health insurance
  • Tuition reimbursement
  • Accident and life insurance
  • Retirement savings plans

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data miningpredictive modelingmachine learningdeep learningdata visualizationdata wranglingdata preprocessinganalytical algorithmsbig data technologycomputational thinking
Soft skills
creative thinkingcritical thinkingverbal communicationwritten communicationanalytical skillsproblem solvinginfluence skillscollaboration skillsteam skillsability to manage ambiguity