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2 months ago

Job Summary

We leverage unconventional data sources to provide unique and actionable insights, helping businesses across various sectors make informed decisions.

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 3 years

Job Description/Requirements

Your day-to-day:

  • Analyzing and interpreting complex time series data to provide actionable insights and solutions.
  • Designing, implementing, and maintaining data-driven models and algorithms.
  • Collaborating with cross-functional teams to understand data needs and deliver timely solutions.
  • Ensuring data quality and integrity throughout all processes.
  • Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data.
  • Continuously researching and implementing best practices in data science and machine learning.
  • Contributing to the development and improvement of internal data processing tools and infrastructure.


What experience you need:

  • Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.
  • A minimum of 3 years of work or research experience dealing with large datasets.
  • Strong coding skills in Python or other object-oriented programming languages.
  • Graduate-level knowledge of statistics, including but not limited to hypothesis testing, regression analysis, and probability.
  • Excellent work ethic and the ability to thrive in a fast-paced startup environment.
  • Strong problem-solving skills and attention to detail.
  • Good communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.
  • Experience working in a high output team.

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