Data Scientist
Description
- 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.
- 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.
- Give presentations at industry conferences, seminars, webinars or workshops and at internal company functions.
- 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
This posting is for an existing vacancy.
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.
About CARFAX and S&P Global Mobility
S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company.
CARFAX, part of S&P Global Mobility, helps millions of people every day confidently shop, buy, service and sell used cars with innovative solutions powered by CARFAX vehicle history information. The expert in vehicle history since 1984, CARFAX provides exclusive services like CARFAX Used Car Listings, CARFAX Car Care, CARFAX History-Based Value and the flagship CARFAX® Vehicle History Report™ to consumers and the automotive industry. CARFAX owns the world’s largest vehicle history database and is nationally recognized as a top workplace by The Washington Post and Glassdoor.com. Shop, Buy, Service, Sell – Show me the CARFAX™. S&P Global Mobility is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.
US Equal Opportunity Employer Statement: CARFAX is an Affirmative Action/Equal Opportunity Employer. It is the policy of CARFAX to provide equal employment opportunity to all persons regardless of race, color, sex, pregnancy, religion, national origin, age, ancestry, citizenship status, veteran status, military status, disability or handicap, sexual orientation, genetic information or any other status protected by federal, state or local law. In addition, CARFAX will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. We are a participant in E-Verify.
Canadian Equal Opportunity Employer Statement: CARFAX Canada is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
We’re committed to providing accommodations by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email [email protected].