Note: The job is a remote job and is open to candidates in USA. Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. The Lead Data Scientist will be responsible for designing and implementing data-driven solutions to complex business problems, leading a team of data scientists, and collaborating with cross-functional teams to drive AI transformation for clients.

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

Skills

• 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
• R
• C++
• SQL
• Gen AI

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