Lead Data Scientist

FuseMachines; Ottawa; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading AI strategy provider is seeking a Lead Data Scientist for a remote, full-time position in Ottawa, Canada. The successful candidate will lead a team in designing data-driven solutions, leverage extensive experience in machine learning and data analysis, and mentor junior scientists. Ideal applicants will possess a Master’s or Ph.D. and over 8 years in the field, bringing strong programming skills in Python and relevant cloud experience.

Qualifications

• 8+ years experience in Data Science or Machine learning.
• Experience leading data science teams.
• Excellent communication skills both written and verbal.

Responsibilities

• Lead a team of data scientists to develop innovative solutions.
• Collaborate with cross-functional teams to implement data-driven solutions.
• Mentor and develop junior data scientists.

Skills

Data analysis

Machine learning

Statistical modeling

Data visualization

Python

R

C++

SQL

AWS

PyTorch

Education

Masters or PhD in applied mathematics, engineering, computer science, or related field

Tools

TensorFlow

Cloud computing environments

Job description

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

About the role

This is remote, full-time

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

Responsibilites:

• Lead a team of data scientists to develop innovative solutions to complex business problems.
• Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
• Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
• Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
• Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
• Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems.
• Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
• Responsible for developing, implementing, and managing the end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.

Requirements for the role

• Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
• 8+ years experience in Data Scientist or Machine learning.
• Strong programming skills in languages such as Python, R, C++, and SQL.
• Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow
• Experience with cloud compute environments such as AWS, GCP, Azure
• Experience leading data science teams.
• Ability to work independently and manage multiple projects simultaneously.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills both written and verbal.
• Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.