Junior Data Scientist

1 week ago

London, Canada CARFAX Canada Full time

**Working Here**
At CARFAX Canada, we’re more than just obsessed with cars. We’re obsessed with data and using it to help millions of Canadians buy, sell and maintain cars - but you can learn that on our website. Let’s talk about the sweet perks you’ll get when working here (i.e. what you actually want to know): Some days you’ll be taking in-house leadership training courses, other days you’ll be eating a catered lunch with your team mates. Grab a seat in the state-of-the-art office in 100 Kellogg Lane and collaborate the day away? What’s that, it’s the summer? Well, the 4-day work weeks have kicked in; enjoy those extra paid days off Why not use one of your paid volunteer days to give back to your community? What else can we list? Competitive wages, amazing benefits, yearly performance-based bonuses, health and wellness programs, a literal award-winning culture, parental leave top-ups and all kinds of social events. To top all of this off, every day you get to choose how you get to do meaningful work with incredible people. So, looks like we’re obsessed with a few things here - data and our people

**Job Details**
CARFAX Canada has recently launched the first and only AI produced valuation output that utilizes historical vehicle elements to create a VIN specific vehicle valuation. We are looking to add a Junior Data Scientist to help our team with data processing, cleaning, and analysis. This individual will also help to monitor and evaluate the performance of developed models to ensure both accuracy and efficiency.

**Position Responsibilities**
- Collect and analyze large datasets using various data analysis techniques.
- Clean, validate, and preprocess raw data to ensure its quality and consistency for further analysis.
- Conduct exploratory data analysis (EDA): Use various statistical techniques to summarize and visualize data to identify trends, patterns, and relationships.
- Develop and maintain predictive models and algorithms using machine learning techniques.
- Identify key patterns and insights in data to inform business decisions.
- Collaborate with cross-functional teams to implement data-driven solutions.
- Create data visualizations and dashboards to communicate findings to stakeholders.
- Continuously improve data models and algorithms to improve accuracy and efficiency.
- Stay up to date with the latest developments in data science and machine learning.

**Education and Experience Required**:
- Bachelor's degree in Computer Science, Statistics, or related field
- 2 years of experience in data analysis and machine learning modelling
- Proficiency in data wrangling using SQL, Pandas, or other Python/R packages.
- Experience with machine learning packages such as Sklearn, LightGBM.
- Strong understanding of statistical analysis and machine learning algorithms
- Familiarity with data visualization tools such as PowerBI
- Excellent problem-solving skills and ability to work independently.
- Strong communication skills and ability to collaborate with cross-functional teams.
- Demonstrate familiarity with popular deep learning libraries and frameworks such as TensorFlow, PyTorch or Keras.
- Great team player with the ability to complete effective work individually, when needed

We thank all applicants for their interest; however only those selected for an interview will be contacted.

**About Us

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