Data Driven Innovation Specialist

7 days ago

Dasmariñas, Calabarzon, Philippines beBeeMachine Full time ₱1,000,000 - ₱1,500,000

Are you a skilled data science professional looking to leverage your expertise in machine learning to drive business growth?

Crypto Data Scientist

At our company, we're seeking a talented individual to join our team as a Crypto Data Scientist. This is an exciting opportunity for someone who is passionate about machine learning and data analysis to work with us to optimize our systems and improve our predictive automation capabilities.

We're looking for a highly capable machine learning engineer who can evaluate existing ML processes, perform statistical analysis to resolve data set problems, and enhance the accuracy of our AI software's predictive automation capabilities. As a machine learning engineer, you should demonstrate solid data science knowledge and experience. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.

About the Role
  • Evaluate existing machine learning (ML) processes to identify areas for improvement
  • Perform statistical analysis to resolve data set problems and enhance model accuracy
  • Design and implement machine learning systems to automate predictive models
  • Collaborate with cross-functional teams to ensure that algorithms generate accurate user recommendations
  • Solve complex problems with multi-layered data sets, optimize existing ML libraries and frameworks, and develop new algorithms to analyze large volumes of historical data
Requirements
  • Bachelor's degree in computer science, data science, mathematics, or a related field
  • Master's degree in computational linguistics, data science, data analytics, or similar will be advantageous
  • At least two years' experience as a machine learning engineer
  • Advanced proficiency with Python, Java, and R code
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
  • In-depth knowledge of mathematics, statistics, and algorithms
  • Superb analytical and problem-solving abilities
  • Great communication and collaboration skills
  • Excellent time management and organizational abilities

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