Data Science Expert for AI Innovation

2 days ago


Old Toronto, Canada AutoTrader Full time

AutoTrader Corporation, a leading online media and dealer services provider in Canada, seeks a Senior Data Scientist to drive exciting AI products forward. With over 25 million monthly visits to its marketplace, the company is looking for talented individuals who can analyze large data sets to improve product performance and customer value.

About AutoTrader

A trusted Canadian leader in online media, dealer and lender services, AutoTrader offers the largest inventory of new cars and used cars in Canada. Its platform provides a suite of connected automotive software solutions, bringing advertising, conversion, and operational support together to synchronize the retail process.

Salary

We offer an estimated salary of $120,000 - $180,000 per year, commensurate with experience, to attract top talent in the field of data science.

Job Description

As a Senior Data Scientist at AutoTrader, you will work closely with the Product team to prototype new ideas, models, and ways of leveraging lots of data points to improve business outcomes. You will utilize cloud resources based on project demands and data workload needs to automate and productionalize data science processes.

  • Develop enrichment processes and procedures to improve the cleanliness, usability, and understanding of data.
  • Proactively monitor existing Machine Learning models, their performance, output, and accuracy.
  • Manage large-scale data processing systems for preparing structured and unstructured data for analytic modeling.

You will be responsible for driving end-to-end data science projects, from data cleaning and manipulation to model training and deployment.

Requirements

To succeed in this role, you will need:

  • The equivalent of 5-10+ years related work experience.
  • A scientific approach, curiosity, creativity, and passion for finding the truth in data.
  • A university degree in a STEM field.
  • Expert-level skills in Python and SQL querying.
  • Previous experience with training and maintaining ML models.
  • Experience with analytical tools and techniques.
  • Experience with data cleaning, manipulation, and wrangling.
  • Experience using structured and unstructured data, from internal and external sources.
Benefits

We offer a range of benefits to support your well-being and career growth, including:

  • A pension plan with 3% matching.
  • Income protection through multiple forms of coverage.
  • An annual lifestyle allowance of $1500 to help you grow your skills.
  • Conferences and training budget.
  • Regular internal training programs.
  • Discounts to nation-wide gyms, onsite gyms, an Employee and Family Assistance Program, and virtual wellness programs.


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