Lead Data Scientist - Feature Engineering

Equifax; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading global data analytics and technology company is seeking a Lead Data Scientist specializing in Feature Engineering. In this role, you will craft innovative analytical solutions and mentor a talented team. Ideal candidates have over 5 years of experience in data science, with strong capabilities in machine learning and a relevant advanced degree.

Qualifications

• 5+ years of data science and analysis experience in a large data environment.
• Proven experience designing analytical solutions for real-world problems.
• Experience working with credit or fraud data.

Responsibilities

• Develop new tools, analytical techniques, and products.
• Design features for scoring and modeling teams to improve predictive power.
• Mentor and coach junior and intermediate data scientists.

Skills

Python

SQL

R

SAS

Education

Bachelor’s or higher degree in Engineering, Economics, Mathematics, Statistics, or Physics

Job description

Lead Data Scientist - Feature Engineering

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Role Overview

Are you passionate about data science innovation and building scalable analytical solutions? Are you a tech-savvy professional seeking a dynamic role to advance your career with a leading global data analytics and technology company? Do you want to create new products and drive business growth to help Canadians achieve their financial goals? If you excel at designing and developing machine learning solutions that blend science, art, and business logic to solve complex problems, we want to hear from you!

Responsibilities

• Learn our data, technologies, and platforms in the first 3-6 months, supporting our advanced analytics team to become a data expert.
• Develop new tools, analytical techniques, and products.
• Create new attributes to enhance business decisions, including exploratory analysis of new data sources and expanding the data lake.
• Design features to meet the needs of scoring and modeling teams, improving predictive power.
• Manage projects by defining requirements, planning resources, and designing analytical solutions.
• Provide insights and recommendations to solve complex business problems.
• Ensure quality control of analytical outputs created by junior team members.
• Mentor and coach junior and intermediate data scientists.

Qualifications

• 5+ years of data science and analysis experience with Python, SQL, R, or SAS in a large data environment.
• Proven experience designing and implementing analytical solutions to real-world problems.
• Experience working with credit or fraud data.
• At least 1 year of experience exploring and assessing new technologies for organizational implementation.
• Bachelor’s or higher degree in Engineering, Economics, Mathematics, Statistics, or Physics.

Preferred Skills

• Background in financial services, credit, telecommunications, or utilities.
• Experience with advanced machine learning algorithms and statistics.
• Leadership and mentorship experience.
• Experience deploying models in cloud environments like AWS or GCP.
• Master’s degree in a business-related field or MBA.
• Seniority Level : Mid-Senior level
• Employment Type : Full-time
• Job Function : Engineering and Information Technology