Lead Data Scientist - Client Projects

Equifax; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading data analytics firm in Toronto is seeking a Lead Data Scientist to drive innovation in data science. You'll work on advanced decision science models and collaborate with clients to solve complex business problems. This role requires expertise in Python, SQL, and machine learning with a focus on delivering high-quality analytical solutions. You will be part of a mid-senior level team, enjoying a full-time position with opportunities for development and mentoring.

Qualifications

• 3+ years of data science experience.
• 3+ years of experience creating machine learning algorithms.
• Proven hands-on experience designing analytical solutions.

Responsibilities

• Lead the vision and strategy of Data Science for the company.
• Develop advanced analytical techniques and products.
• Communicate results to stakeholders using data visualizations.

Skills

Python

SQL

Machine Learning

Statistical Analysis

Education

Bachelor’s or advanced degree in a quantitative discipline

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Overview

Lead Data Scientist - Client Projects at Equifax

As the Lead Data Scientist within the Data & Analytics team at Equifax Canada, you will drive data science innovation, working with the Canadian Equifax Data Science & Insights team and the broader international community. You will partner with peers, internal stakeholders and external clients to deliver state-of-the-art decision science models and attributes that leverage Equifax’s data assets. This includes decision areas covering the credit lifecycle, geodemographic and marketing attributes, ratings and fraud models, and new areas where data-driven decision making is informed by predictive modeling, including advanced modeling techniques and machine learning. You will extract data, support redesigning data modeling processes, create new algorithms and predictive models, and lead data analysis and insight sharing with peers.

What you will do

• For the first 3-6 months you will learn our data, technologies, and platform, working on projects to support our advanced analytics team.
• Help lead the vision and strategy of Data Science for Equifax Canada.
• Develop new tools, advanced analytical techniques and products.
• Collaborate with consulting specialists to build detailed requirements and plans for custom project work.
• Work with key clients on custom projects and solutions through the development of custom scores, strategy optimization, benchmarking and reporting, and co-innovation projects.
• Communicate analytical results to stakeholders using data visualizations, clear presentation, and business language to emphasize the impact of analyses.
• Manage your own projects, including defining business and technical requirements, resource planning and analytical solution design.
• Provide recommendations and market insights that support solving complex business problems.
• Ensure quality control of all analytical output by junior and intermediate data scientists; coach and mentor team members in career development and data science skills.

What experience you will need

You don’t have to tick all of the bullets below, but some of the following would be essential :

• 3+ years’ data science experience with expert knowledge of Python, SQL, R or SAS in a large data environment.
• 3+ years’ experience creating and using advanced machine learning algorithms and statistics (regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks including LSTMs, RNNs).
• 3+ years’ proven hands-on experience designing, building and implementing analytical solutions to solve real-world problems.
• 2+ years’ experience building models with packages such as scikit-learn, XGBoost, TensorFlow, PyTorch, Transformers.
• 1+ years’ background in and passion for trying new technologies and assessing value and implementability within organizations.
• Bachelor’s or advanced degree in a quantitative discipline such as Engineering, Economics, Mathematics, Statistics, or Physics.

What could set you apart (nice to have skills)

• Background in financial services, credit, telecommunications or utilities.
• Experience with credit or fraud data and experience in leadership and mentorship.
• Experience with development and deployment of models in a cloud-based environment such as AWS or GCP.
• Master’s degree in a business-related field / MBA.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology