Lead Data Scientist

Fusemachines

2d

About The Position

Fusemachines, founded in 2013, is a global provider of enterprise AI products and services dedicated to democratizing AI. Using proprietary AI Studio and AI Engines, the company assists clients in their AI Enterprise Transformation. With offices across North America, Asia, and Latin America, Fusemachines offers a range of enterprise AI solutions and specialized services enabling organizations of all sizes to implement and scale AI. The company serves various industries including retail, manufacturing, and government. Fusemachines is committed to democratizing AI through high-quality AI education in underserved communities and empowering organizations with AI.

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. This role demands extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization. Additionally, the ability to lead a team of data scientists and collaborate effectively with cross-functional teams is crucial.

Requirements

• 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.

Nice To Haves

• Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.
• R, C++, and SQL
• Gen AI

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior