Lead Data Scientist

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

About the role

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.

Responsibilities:

• 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 of the role:

• Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
• 6+ years experience in Data Scientist or Machine learning.
• Strong programming skills in languages such as Python
• 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.

Nice to have:
- R, C++, and SQL, Gen AI

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

Important: Immigration Sponsorship Policy

Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:

• Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
• Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
• Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).