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. And just announced, the return of the 4-day work week from May 30th through Labour Day! 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 Senior Data Analyst, you will be working with the Data Services and Data Technologies teams to provide key analytical support to a machine learning initiative. You will work collaboratively with a team of engineers and data scientists to help design, build and scale our ambitious machine learning and natural language processing solutions.
As a Senior Data Analyst, your responsibilities will include:
Gathering training data for the existing deep learning, ML and NLP solutions
Providing actionable ad hoc analytics insights for internal stakeholders
Designing and building recurring reports for internal stakeholders to make data-driven decisions
Identifying and implementing ways to supercharge data quality and data integrity
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 Data Center
To be considered for this role, you will need:
3-5 years of direct experience performing advanced data analytics or a Master’s Degree in Statistics, Data Analytics or related field
3+ years’ experience in SQL/Spark, R, Python
Strong grasp of statistical modeling techniques such as linear regression, logistic regression, GLM, etc.
Understand NLP concepts like: 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
Automotive industry experience a plus
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