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Data Scientist

CARFAX

This is a Contract position in Burnaby, BC posted November 21, 2022.

Join our Winning Team as a Data Scientist When was the last time you bragged about where you work?

At CARFAX, we do it every day.

Why?

Because we’re proud to work for a company with a strong mission and trusted brand.

We’re proud to work with people who care about what they do and work hard every day to deliver their best.

We’ve created the type of company culture where the term, “work
– hard play
– hard”isn’t just a catchy saying, it’s part of the CARFAXdifference As a Data Scientist , you will be working with the Data Services and Data Technologies teams to create machine learning solutions for a new product.

You will work collaboratively with data engineers and data mappers to design, build and scale our ambitious machine learning and natural language processing solutions.

As a Data Scientist, your responsibilities will include: Leading the design, development and deployment of our deep learning, ML and NLP solutions Maintaining and improving established, advanced machine learning processes on data mining Providing actionable ad hoc analytics insights for 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 value to stakeholders Creating reusable processes to assist data evaluation and analysis across teams within the Data Services department To be considered for this role, you will need: 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, 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.

Ability to effectively communicate analysis and insights to all levels of the organization A passion for continuous learning Confidence to challenge the status quo