Lead Data Scientist

Responsibilities

• Lead a team of data scientists to develop innovative solutions to complex business problems.
• Collaborate with cross‑functional teams, including stakeholders, product managers, and engineers, to implement data‑driven solutions.
• Assess client business needs to identify opportunities for AI to improve processes, reduce costs, or increase revenue.
• Design and implement statistical models, machine learning algorithms, predictive analytics, and agentic systems.
• Communicate technical insights and recommendations to non‑technical stakeholders clearly and concisely.
• Mentor and develop the skills of junior data scientists through regular feedback and guidance.
• Manage end‑to‑end machine learning pipelines, including building, deploying, and maintaining models while ensuring data quality.

• Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a related field.
• 6+ years of experience in Data Science or Machine Learning.
• Strong programming skills in Python.
• Hands‑on experience with ML frameworks such as PyTorch or Tensor Flow.
• Experience with cloud compute environments such as AWS, GCP, or Azure.
• Proven experience leading data science teams.
• Strong problem‑solving skills and the ability to manage multiple projects simultaneously.

• Experience with R, C++, SQL, or Generative AI.
• Industry experience in finance, healthcare, e‑commerce, retail, or marketing.

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 AI Enterprise Transformation for clients across various industries, including retail, manufacturing, and government. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services to help organizations scale AI effectively.