Data Science Manager

1 month ago

Burlington, Ontario, Canada TransUnion LLC Full time

About the Role:

TransUnion is seeking a highly skilled Data Science Manager to join our team. As a Data Science Manager, you will be responsible for leading a team of data scientists and analysts to develop and implement advanced analytics solutions that drive business growth and improve customer experiences.

Key Responsibilities:

  • Develop and execute a comprehensive analytics strategy that aligns with business objectives and drives revenue growth.
  • Lead a team of data scientists and analysts to design, develop, and deploy advanced analytics solutions that meet business needs.
  • Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions.
  • Manage and prioritize multiple projects and teams to ensure timely delivery and high-quality results.
  • Develop and maintain relationships with key stakeholders, including business leaders, sales teams, and customers.
  • Stay up-to-date with industry trends and emerging technologies to ensure the team is equipped with the latest skills and knowledge.
  • Manage the team's budget and resources to ensure efficient use of resources and optimal ROI.
  • Develop and implement processes and procedures to ensure data quality, security, and compliance.
  • Provide coaching, mentoring, and feedback to team members to ensure their growth and development.
  • Collaborate with the Global Data Science & Analytics team to share best practices, knowledge, and resources.

Requirements:

  • Master's degree or equivalent in a highly analytical field such as economics, finance, mathematics, operations research, or statistics.
  • Minimum of 8 years' experience in a variety of analytical positions, including data science, analytics, and business leadership.
  • Minimum of 4 years' experience in credit, financial services consulting, or financial services industry.
  • Direct experience on the client side of business preferred.
  • Outstanding analytical and consulting skills, with the ability to communicate complex ideas to non-technical stakeholders.
  • At least 3 years' prior experience managing analytical professionals, with a proven track record of developing and leading high-performing teams.
  • Successful demonstration of defining and executing analytic solution strategies and roadmaps, setting budgets and monitoring financial performance.
  • Experience working within a matrixed organization preferred.
  • Significant experience delivering analytic services within the CRA/Software/Marketing data industry. Credit risk within financial services and regulated environment experience preferred.
  • Excellent oral and written communication, with the ability to present and discuss information in a way that establishes rapport, persuades others, and gains understanding.
  • Strong presentation skills to audiences of various sizes and seniority, technical and business focused.
  • Able to translate a vision into actionable items and communicate progress against goals.
  • Self-starter with the ability to take direction and work with minimal supervision.
  • Ability to think innovatively and drive change throughout the organization.
  • Ability to manage multiple tasks at one time.
  • The ability to manage and lead in ambiguous situations.
  • High degree of computer literacy and previous programming experience required.
  • Experience with Microsoft Office suite.
  • Minimum 5 years' experience using SAS, R, or Python.
  • Experience in both traditional analytics tools such as SAS or SPSS, and newer analytic tools and frameworks such as Hadoop, R, Python, or Spark.
  • Some international and domestic travel required.

About TransUnion:

TransUnion is a global information solutions company that helps people and businesses make better and smarter decisions. We provide a wide range of products and services that help our customers access the opportunities that lead to a higher quality of life. Our mission is to help people around the world access the opportunities that lead to a higher quality of life, by helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information.

What We Offer:

  • A dynamic and collaborative work environment that fosters innovation and growth.
  • A competitive salary and benefits package that includes health insurance, retirement savings, and paid time off.
  • Opportunities for professional development and career advancement.
  • A comprehensive training program that includes onboarding, technical training, and leadership development.
  • A diverse and inclusive workplace that values diversity, equity, and inclusion.
  • A commitment to community engagement and social responsibility.

How to Apply:

If you are a motivated and experienced data science professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you

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