SIGNUP

Job Opportunities

Find jobs near you, whether onsite, hybrid, or remote.
  • Similar Jobs to: Remote Lead Data Scientist
XX
Remote Lead Data Scientistgrabjobs • United States
Apply Now
XX

Remote Lead Data Scientist

grabjobs
  • US
    United States
  • US
    United States
Apply Now

About

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. 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
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
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). Please read carefully the restrictions before applying.
  • United States

Languages

  • English
Notice for Users

This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.

10'000+ Job Opportunities: Find Jobs Near You, Onsite, Hybrid, or Remote