Data Scientist

1 week ago

Barcelona, Philippines beBeeMachineLearning Full time $150,000 - $250,000
Unlock Your Potential as a Machine Learning Engineer

We are seeking a skilled machine learning engineer to optimize our predictive models.

As a key member of our team, you will leverage your expertise in data science and machine learning to drive business outcomes.

Key Responsibilities:
  • Determine and refine machine learning objectives through collaboration with the manager.
  • Design and develop machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
  • Transform data science prototypes into actionable insights using appropriate ML algorithms and tools.
  • Ensure that algorithms generate accurate user recommendations.
  • Solve complex problems with multi-layered data sets and optimize existing machine learning libraries and frameworks.
  • Develop ML algorithms to analyze huge volumes of historical data for predictions.
  • Stress test, perform statistical analysis, and interpret results for all market conditions.
  • Document machine learning processes for knowledge sharing and improvement.
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 is 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.
  • Excellent analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Strong time management and organizational abilities.
What We Offer:

A dynamic work environment with opportunities for growth and development.

The chance to work on challenging projects and contribute to business success.

A competitive salary and benefits package.

Ongoing training and support to enhance your skills and knowledge.

How to Apply:

Please submit your resume and cover letter outlining your relevant experience and qualifications.

We look forward to hearing from you.

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