June 3
• 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.
• Competitive salary • Early-stage equity • Flexible work environment • Unlimited PTO • Opportunities for career growth
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