Crypto Market Analyst

1 week ago

Tanauan, Calabarzon, Philippines beBeeMachineLearning Full time $120,000 - $150,000

Crypto data scientists and machine learning engineers work at the forefront of cryptocurrency investment research.

Job Description

Data scientists in this role design and develop predictive models to analyze historical market data, identify trends, and make accurate predictions about future market performance.

Using machine learning algorithms and statistical analysis, they transform large datasets into actionable insights that inform investment decisions.

  • Consulting with stakeholders to determine and refine objectives.
  • Designing and implementing machine learning systems to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data for predictions.
  • Stress testing, statistical analysis, and interpreting test results for all market conditions.
Requirements

To be successful in this role, applicants should have a strong background in computer science, mathematics, or a related field. A master's degree in computational linguistics, data science, or data analytics is highly desirable.

  • Bachelor's degree in computer science, data science, mathematics, or related field.
  • Master's degree in computational linguistics, data science, data analytics will be advantageous.
  • At least two years' experience as a machine learning engineer.
  • Advanced proficiency in Python, Java, R code.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, software architecture.
  • In-depth knowledge of mathematics, statistics, algorithms.
  • Superb analytical problem-solving abilities.
  • Great communication collaboration skills.
  • Excellent time management organizational abilities.
What We Offer

We offer a dynamic and supportive work environment, opportunities for professional growth and development, and a competitive salary package.

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