- 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.
- 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. Nice to have - Experience in time series forecasting. - Experience working with Large Language Models (LLMs). - Proven experience in web scraping and data extraction.
$80k – $150k • 0.1% – 0.5% - Competitive salary, early-stage equity, flexible work environment - Flexible work hours - Unlimited PTO - New experience stipend
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