Join Team CARFAX as a Data Scientist
Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment.
At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. This position will require 3 days per week in our London, Ontario office, subject to change with future business needs.
What you’ll be doing:
- Leading the design, development and deployment of new Machine Learning and Deep Learning solutions to enhance banking and insurance products.
- Maintaining and improving established, advanced machine learning processes on data mining.
- Providing actionable ad hoc analytics insights for internal stakeholders.
- Using advanced analytical methods to explore and extract additional data value for existing and emerging banking and insurance products.
- Documenting analysis results and presenting value to stakeholders.
- Creating reusable processes to assist data evaluation and analysis across teams.
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Provide programming requirements and specifications to Product Development to support implementation and delivery of model-based scoring algorithms. Research relevant industry activity and monitor marketplace for product opportunities.
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Give presentations at industry conferences, seminars, webinars or workshops and at internal company functions.
What we’re looking for:
- Master’s Degree in Statistics, Data Science or related field
- 4+ years’ experience in SQL/Spark, R, Python
- 4+ years of experience in building and applying machine learning and predictive modeling solutions to business problems
- Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, gradient boosting, neural networks, and deep learning.
- Ability to effectively communicate analysis and insights to all levels of the organization
- Strong critical thinking skills, natural curiosity, and the ability to work efficiently with limited direct supervision.
- Confidence to challenge the status quo
Vacancy Status:
This posting is for an existing vacancy.
Base Salary:
The anticipated base salary range for this position is $81,300 to $119,500 annually. Final base salary will be determined based on geographical location, experience, and qualifications.
Benefits:
Join a company that values your total wellbeing. Carfax offers competitive compensation, comprehensive healthcare coverage, and the chance to make a meaningful impact in an industry-leading organization. Our benefit offerings can be found at:
CARFAX Careers.
