Fusemachines Nepal

Fusemachines is an enterprise AI services, education and solutions provider on a mission to democratize AI.

Headquartered in New York with operations across North and Latin America and Asia, Fusemachines brings together engineers and PhDs from around the world to help companies build innovative AI solutions. With a Nepal based head office in Kathmandu, Fusemachines offers advanced AI products such as Fuse Classroom, Fuse Extract. Fusemachines AI Schools run AI Microdegree and Certificate programs in physical classrooms as well as online live classes using its proprietary content and learning platform.

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Data Scientist

Data Science

Apply Before : 2022-02-12 ((16 Days Left))

Job summary

  • No. of Vacancy
  • Job Type
    Part Time
  • Offered Salary
  • Gender
  • Career Level
    Mid Level
  • Industry
    Software Industry
  • Experience
    5 Years
  • Location
    All over Nepal
  • Apply Before
    (16 Days Left)
  • Views
  • Skills

Job Description:

About the role

This is a part-time, remote position (20hrs/weekly)

Key Responsibilities

  • Collaborates with translators to define technical problem statements and hypotheses to test; understand business problems to implement scalable and sustainable solutions
  • Coordinates with SMEs, translators, IT, and data engineers to deliver holistic analytical solutions
  • Designs creates, tests, and implements complex models and algorithms that drive analytical solutions throughout the organization
  • Regularly tests and maintains analytical models to improve efficiency and keep up with changing business needs, ensuring timely analysis and testing for regular maintenance of solutions over time
  • Writes reports articulating the analytics insights and their business impacts
  • Conducts and leads meetings and workshops to explain findings 
  • Supports translators in communicating the design, functioning, and output of the analytical models/solutions developed

Required Knowledge, Skills, and Abilities

  • Proficiency in Python and PySpark and ability to derive insights from terabytes of time series-based data
  • Experience with object-oriented design, coding, and testing, engineering software platforms
  • Thorough understanding of machine learning frameworks such as Scikit Learn and Tensorflow
  • Experience in model deployment in Azure or local Python-based servers such as Flask, Waitress, Gunicorn
  • Understanding of advanced applied mathematics in AA, artificial intelligence, and array operations 
  • Comfort in using SQL Server, PostgreSQL/ MySQL, and R
  • Knowledge of programming languages (R, PHP, Python)
  • Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred

Education + Experience

  • 5+ years of experience in data science
  • Master’s or another advanced degree in statistics, computer science, or data science

Apply Instruction

Interested candidates fulfilling the mentioned criteria are encouraged to Apply using the Easy Apply Button below. Registered candidates may also apply using Apply Now Button.