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Senior Data Analytics Expert

3 weeks ago


Toronto, Ontario, Canada Capital One Full time

At Capital One, data drives every decision we make. With a passion for innovation and a commitment to excellence, we continue to disrupt the financial industry with cutting-edge technology.

Job Overview

We are seeking an experienced Senior Data Analytics Expert to join our team. As a key member of our data science group, you will be responsible for developing and implementing advanced data analytics solutions that drive business growth and improve customer experiences.

Key Responsibilities
  1. Data Analysis: Design and develop complex data models to extract insights from large datasets and inform business decisions.
  2. Machine Learning: Develop and deploy machine learning models using Python and other open-source tools to predict customer behavior and optimize business outcomes.
  3. Data Visualization: Create interactive and engaging data visualizations to communicate complex findings to stakeholders and drive business action.
  4. Collaboration: Work closely with cross-functional teams to identify business needs and develop tailored data solutions that meet those needs.
Requirements
  1. Bachelor's Degree in Computer Science, Mathematics, or related field.
  2. Minimum 5 years of experience in data analytics, machine learning, or related field.
  3. Proficiency in Python, R, or Scala programming languages.
  4. Experience with version control systems like GitHub.
  5. Strong understanding of statistical modeling and machine learning concepts.
Preferred Qualifications
  1. Master's Degree or Ph.D. in Computer Science, Mathematics, or related field.
  2. Experience working with AWS services like EC2, S3, Lambda, and RDS.
  3. Experience with experimental design and A/B testing.
  4. Knowledge of SQL and database management systems.
What We Offer
  1. Opportunity to work on cutting-edge projects that drive business growth and improve customer experiences.
  2. Collaborative and dynamic work environment with a talented team of data scientists and engineers.
  3. Professional development opportunities to enhance your skills and advance your career.