Lead Data Scientist

Fusemachines-posted 8 days ago
Full-time • Mid Level
New York, NY
251-500 employees
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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 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.

  • 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.
  • 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.
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