Lead Data Scientist

E Inc.; Toronto; Hybrid; CAD 170,000 - 200,000; Full time

Job summary

E Inc. is on the lookout for a Lead Data Scientist to elevate our automotive platforms with data-driven insights. In this impactful role, you'll lead predictive modeling and analytics initiatives while collaborating cross-functionally to drive product decisions. Ideal candidates have a strong background in data science, finance or insurance, and a passion for innovation. We're committed to a competitive salary, bonuses, and benefits to support your success and work-life balance.

Benefits

Premium salary package including bonuses

5 weeks paid time off

Comprehensive benefits including health and dental

401k/RSP programs

Flexible remote or hybrid work setup

Continuous learning opportunities

Qualifications

• 7+ years in data science or machine learning, with lead experience.
• Strong programming in Python and SQL required.
• Experience deploying models in production environments.

Responsibilities

• Lead design, development, and deployment of predictive models.
• Collaborate on data-driven opportunities and product experiments.
• Drive best practices in data science and model integration.

Skills

Python

SQL

Statistical modeling

Machine learning

AWS cloud services

Critical thinking

Analytical problem-solving

Education

Master's degree

Tools

scikit-learn

Apache Airflow

dbt

Quarto

Docker

Job description

E INC is the parent company of EBlock and EDealer, unifying our approach to products, services, and strategies under one Vision and one Mission: to create the best digital auction and retailing platform in the world by connecting the automotive wholesale and retail experiences. Our brands and their technologies make it easy for a vehicle to move between buyers and sellers throughout its entire ownership lifecycle. Learn more at https://e.inc/about

We are seeking a Lead Data Scientist to join our Data team and help shape the data-driven future of our automotive platforms. This is a highly visible and impactful role, ideal for someone who can balance technical depth with strategic thinking. You'll collaborate cross-functionally with product managers, engineers, and business stakeholders, to deliver models, analytics, and experimentation that drive key product decisions and user outcomes.

Candidates with experience in finance or insurance domains are highly encouraged to apply.

We offer a competitive salary ($170,000 - $200,000 CAD); a competitive bonus plan; paid time off (5 weeks); participation in our benefits, RRSP, and life insurance programs; continuous learning; and so much more!

What You Will Do:

• Lead the design, development, and deployment of predictive models and statistical analyses to support product development and strategy.
• Translate complex business problems into structured data science projects and solutions.
• Work closely with product managers and business stakeholders to identify data-driven opportunities and evaluate product experiments.
• Drive best practices in data science, from reproducibility and documentation to deployment and performance monitoring.
• Collaborate with engineers to integrate models and insights into production systems and decision pipelines.
• Leverage AWS cloud services to develop scalable, secure, and efficient data science solutions, including model training, deployment, and data pipeline orchestration.

What You Will Need:

• 7+ years of industry experience in a data science or machine learning role, including at least 1-2 years in a lead or senior capacity.
• Education: Master’s degree or equivalent experience.
• Strong programming skills in Python and SQL .
• Solid understanding of statistical modeling, experimentation, machine learning, and applied mathematics.
• Experience with model deployment and monitoring in production environments.
• Excellent communication and storytelling skills with the ability to convey complex findings to both technical and non-technical audiences.
• Proficiency with scikit-learn ( sklearn ) for building, evaluating, and deploying machine learning models in production environments.
• Desire to work on a small product-focused team.
• Demonstrated high level of initiative and self-direction, flexibility, and ability to adapt to change.
• Strong critical thinking and analytical problem-solving skills.

Preferred Qualifications:

• Background in finance or insurance , particularly in risk modeling, pricing, or fraud detection.
• Proficiency in R , especially for statistical modeling, reporting, and prototyping.
• Experience with:
• Apache Airflow for orchestrating workflows
• dbt for data transformation and modeling
• Quarto for dynamic report generation and communication
• AWS cloud services such as S3, MWAA, and ECS
• Docker for reproducibility and deployment
• Familiarity with modern MLOps practices and tools.
• Experience in the automotive or Canadian finance or insurance domains an asset.

What We Offer:

• Competitive compensation and flexible remote or hybrid work setup
• A high-impact role on a small, innovative team
• Comprehensive benefits package including health, dental, and vision
• 401k/RSP programs
• Paid time off
• A collaborative, mission-driven culture with a commitment to innovation and learning
• And an amazing culture to top it all off!

At E INC, in the spirit of pay transparency, we are excited to share our base pay as it is one part of our total compensation package and is determined within a range. The base pay range for this full-time position is $170,000.00 - $200,000.00 CAD, and this role may be eligible for discretionary bonuses or commission payments. Your base pay will depend on your skills, qualifications, experience, and location. In addition, our ranges are determined by role, level, and location.

E INC is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.

E INC is an equal opportunity employer and affirmatively seeks diversity in its workforce. E INC recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, disability, genetic information, ethnic or national origin, marital status, veteran status, or any other categories protected by law.

E INC takes cybersecurity seriously. E INC will reach out to candidates via our Application Tracking System Rippling, LinkedIn, and Indeed, through company accounts. E INC does not require bank information, date of birth, social identification information, or upfront fees as part of our application process.