Senior Data Scientist

About the position

Join Team CARFAX as a Senior Data Scientist. At CARFAX, 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. As a Senior Data Scientist, you will be a key member of the data science team, leading the creation of machine learning solutions for new products. You will work collaboratively with data engineers, data mappers, and other stakeholders to design, build, and scale our advanced machine learning solutions. This position will require 3 days per week in our Columbia, MO office, subject to change with future business needs.

Responsibilities

• Leading the design, development and deployment of our deep learning, ML and NLP solutions.
• Maintaining, optimizing and advancing established machine learning processes on data mining.
• Providing strategic insights and actionable ad hoc analytics insights for senior internal stakeholders.
• Designing and building recurring reports for internal stakeholders to make data-driven decisions.
• Using advanced analytical methods to explore and extract additional data value for existing and emerging products.
• Documenting analysis results and presenting them to senior stakeholders with an emphasis on actionable insights and business value.
• Creating reusable processes to assist data evaluation and analysis across.
• Mentoring and guiding junior data scientists.
• Working with cloud platforms (AWS, GCP, Azure) to deploy and scale machine learning models.

Requirements

• Master's Degree in Statistics, Data Science or related field
• 6+ years' experience in SQL/Spark, R, Python
• 6+ years of experience in building and applying machine learning, predictive modeling, or natural language processing solutions to business problems
• Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, boosted ensembles, neural networks, deep learning, etc.
• Experience with Named Entity Recognition (NER), Sentiment Analysis, Data Tokenization, Lexical Semantics, Relationship Extraction, etc.
• Proven ability to effectively communicate complex analysis and insights to all levels of the organization, including executives
• A passion for continuous learning and staying updated with the latest in data science and machine learning
• Confidence to challenge the status quo

Benefits

• Competitive compensation, benefits and generous time-off policies
• 4-Day summer work weeks and a winter holiday break
• 401(k) / DCPP matching
• Annual bonus program
• Casual, dog-friendly, and innovative office spaces