Job description

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 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.


About The Role


This is a remote, consulting position


Role scope


  • Provide technical contributions in a fast-paced team environment to accelerate efforts on building an analytics-driven product pipeline
  • Independently perform statistical analysis, computer programming, predictive modeling, and experimental design
  • Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community
  • Use advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions
  • Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators
  • Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business


Requirements for the role


  • Bachelor's degree in Computer Science, Information Technology, or a relevant field preferred
  • 5 years + of industry experience
  • Solid understanding of statistics and statistical modeling is required
  • One scripting language such as Python, Scalar, or PySpark
  • Hands-on experience with data science tools and visualization tools in Python (e.g. Scikit-learn, SciPy, pandas, Matplotlib, Bokeh, and/or Plotly, Seaborn, Altair, etc.) is required
  • Experience developing end-to-end Machine Learning systems


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.


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