drjobs Senior Data Scientist

Senior Data Scientist

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1 Vacancy
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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About Clutch:

Clutch is Canadas largest online used car retailer delivering a seamless hasslefree carbuying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home get the right one delivered to their door and enjoy peace of mind with our 10Day MoneyBack Guarantee and thats just the beginning.

Named one of Canadas top growing Companies two years in a row and also awarded a spot on LinkedIns Top Canadian Startups list were looking to add curious hardworking and driven individuals to our growing team.

Headquartered in Toronto Clutch was founded in 2017. Clutch is backed by a number of worldclass investors including Canaan BrandProject Real Ventures D1 Capital and Upper90. To learn more visit clutch.

What youll do:

Clutch is looking for a Data Scientist to help drive datadriven decisionmaking across our business. Youll work on analyzing data building predictive models and deploying machine learning solutions to improve operations and customer experiences.

  • Analyze large datasets to extract meaningful patterns trends and insights that inform business and operational strategies.
  • Build validate and deploy predictive models and machine learning algorithms to solve key business challenges.
  • Develop and optimize pricing models for vehicles ensuring competitive and datadriven pricing strategies. These models currently purchase >$1 million of vehicles per day with no human intervention.
  • Contribute to the development of a loan engine that powers our new consumer lending project helping to optimize credit decisioning.
  • Create automation solutions for reconditioning to improve efficiency and reduce costs.
  • Design and implement a vehicle recommendation algorithm that enhances customer experience and personalization.
  • Use statistical techniques and data visualization to effectively communicate findings to stakeholders.
  • Identify relevant data sources and collaborate with data engineering teams to gather and preprocess data for analysis.
  • Perform feature engineering data transformation and data cleaning to prepare datasets for modeling.
  • Work with structured and unstructured data from various sources to enhance analytical accuracy.
  • Develop and maintain data processing workflows ensuring efficient mapping transformation and enrichment of data.
  • Write SQL queries and Python scripts to transform analyze and model data for business impact.
  • Deploy machine learning models into production environments monitoring their performance and optimizing them over time.
  • Collaborate with software engineers analytics engineers and business stakeholders to ensure models align with business goals.
  • Create and maintain interactive dashboards to present data insights in a clear actionable format.
  • Stay up to date with advancements in data science machine learning and AI technologies experimenting with new techniques to enhance existing workflows.
  • Write clear documentation for ML models pipelines and workflows to support collaboration and reproducibility.

What were looking for:

  • 5 years of experience as a Software Developer/Engineer with a strong software development background.
  • 3 years of experience in data analysis and strategy leveraging datadriven insights to influence business decisions optimize processes and drive revenue growth.
  • Proficiency in using Python for data analysis including libraries such as Pandas NumPy and SciPy.
  • Strong understanding of gradient boosting frameworks such as XGBoost and LightGBM for building highperformance models.
  • Expertise in data and feature engineering including data cleaning normalization transformation and selecting relevant features from raw data.
  • Experience working with largescale datasets within cloud data warehouses such as Snowflake Databricks or Redshift.
  • Advanced SQL skills including joins subqueries window functions common table expressions (CTEs) aggregations complex string manipulations stored procedures and functions.
  • Bachelors degree in data science statistics computer science or a related field.
  • Strong problemsolving skills and ability to translate business challenges into datadriven solutions.
  • Ability to work crossfunctionally with engineers analysts and business teams to drive impact.
  • Strong communication skills with the ability to present complex insights in an accessible way.

Why youll love it at Clutch:

  • Autonomy & ownership create your own path and own your work
  • Competitive compensation and equity incentives!
  • Generous time off program

Required Experience:

Senior IC

Employment Type

Full Time

Company Industry

About Company

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