Wynd Labs
Wynd Labs is focused on making public web data accessible for artificial intelligence applications. The company provides enterprise customers with robust web scraping networks for accessing diverse data, such as financial insights for small to medium cap equities. Additionally, Wynd Labs contributes to AI development by offering AI-oriented datasets and designing native AI models to assist in data scraping and structuring. Their platform supports a wide range of business solutions, including AI training data, price scraping, ad verification, and financial data services.
Data Scientist
June 3, 2024
Wynd Labs
Wynd Labs is focused on making public web data accessible for artificial intelligence applications. The company provides enterprise customers with robust web scraping networks for accessing diverse data, such as financial insights for small to medium cap equities. Additionally, Wynd Labs contributes to AI development by offering AI-oriented datasets and designing native AI models to assist in data scraping and structuring. Their platform supports a wide range of business solutions, including AI training data, price scraping, ad verification, and financial data services.
📋 Description
• 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.
🎯 Requirements
• 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.
🏖️ Benefits
• Competitive salary • Early-stage equity • Flexible work environment • Unlimited PTO • Opportunities for career growth
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