Data Scientist

CarTrawler; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading mobility services provider in Toronto is seeking a Data Scientist to solve complex business problems using machine learning techniques. The ideal candidate has a robust understanding of statistical modelling and experience with Python and SQL. This role offers flexible working conditions and numerous employee benefits, including health insurance and an annual bonus.

Benefits

Annual Bonus

Pension Scheme

Health Insurance

Flexible Working

Qualifications

• 3+ years’ experience in a relevant role.
• Solid understanding of algorithms and data mining.
• Experience with high-volume, high-dimensional data.

Responsibilities

• Solve complex real-world business problems with machine learning.
• Develop data-driven models to optimise trading performance.
• Collaborate with the MLOps team for solution deployment.

Skills

Statistical modelling

Machine learning workflows

Python

SQL

Data visualization

Education

Undergraduate, M.S. or Ph.D. in a relevant quantitative field

Tools

TensorFlow

PyTorch

Tableau

Git

Job description

CarTrawler (Certified B Corp) is the world’s leading provider of car rental and mobility services to the global travel industry. If you’ve ever booked a flight and seen the option to rent a car, that was probably us. But it’s our people that make everything we do possible – and we’d love you to join us.

From our roots in Ireland, we’ve grown into the leading B2B technology provider of car rental and mobility solutions to the global travel industry. But what really sets us apart is our people.

At CarTrawler, you’ll find more than just a job. You’ll find flexibility, meaningful impact, and a culture built by the people who live it every day. Whether you’re developing new products, shaping customer journeys, or helping us scale, you’ll be supported to do your best work, and enjoy the journey along the way.

The Role

• Solve complex real-world business problems using cutting-edge machine learning methods and techniques.
• Develop data-driven models and tools to optimise trading performance across a host of domains including pricing and recommended sort.
• Conduct exploratory analysis to generate actionable insights, identify opportunities, and enhance our understanding of consumer behaviours.

Responsibilities & Accountabilities:

• Input into the design decisions determining optimal data science methodologies and technologies to use to solve the problem at hand.
• Ensuring integrity of the data science solutions in terms of the underlying statistical and economic models and assumptions.
• Performing exploratory data analysis to improve understanding of underlying trends and behaviours to help inform feature engineering work and next steps in modelling process.
• Support in the designing and development of scalable and efficient data driven solutions.
• Defining data requirements and extracting required data to support solution development.
• Collaborating with the MLOps team in the development and deployment of proposed solutions to a live environment and tracking the effects in real time.
• Devising statistically robust testing plans to validate effectiveness of solutions.
• Collating results from in-market tests and validating them.
• Effectively communicating outputs of work to other team members and business stakeholders in a manner that can be understood by both technical and non-technical audiences.
• Work with colleagues in Revenue function to ensure they are equipped with required tools, models and resources for optimising trading performance.
• Support the wider business with BAU tasks related to the services Data Science provide or with designing new data-driven solutions to solve their complex business problems.
• Proactively work with wider data & technology teams to support the collection of new data and refinement of existing data sources.

Skills & Experience Required:

• Undergraduate, M.S. or Ph.D. in a relevant quantitative field, and 3+ years’ experience in a relevant role.
• Solid understanding of statistical modelling, algorithms, data mining and machine learning workflows.
• Some experience or knowledge of using more advanced ML libraries (TensorFlow, PyTorch, MXnet, etc.).
• Experience in the development or application of GenAI algorithms seen as a plus.
• Proficient in writing well structured, robust and readable code in Python.
• Proficient in SQL and relevant experience using relational databases.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Proven experience manipulating and analysing complex, high-volume, high-dimensional data from varying sources.
• Ability to create compelling visualisations and dashboards (e.g. Tableau, Thoughtspot).
• Knowledge of Git and modern development workflows.
• Proven ability to work creatively and analytically in a fast-paced, problem-solving environment.
• Ability to partner with Software Engineering teams to co-develop functionality for the business.

Benefits:

• Financial: Annual Bonus, Pension Scheme, Health Insurance, Income Protection, Life Assurance
• Paid Leaves: Annual Leave, Company Days, Friday Unplugged, Menstrual & Menopause Leave, Marriage & Civil Partnership Leave, Fertility Leave, Volunteer Days
• Wellbeing: Subsidized Health Insurance, EAP, Flu Vaccines, Health Stations
• Lifestyle & Working: Subsidized Canteen, Flexible Working, Work from Abroad, Sports & Social, Bike to Work, Travel Tax Saver