Data Scientist

Wynd Labs leverages unconventional data sources to provide unique and actionable insights, helping businesses across various sectors make informed decisions. Our startup environment is fast-paced, collaborative, and committed to innovation.

Your day-to-day:

• Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis.
• Designing and implementing pipelines for processing and analyzing large text datasets.
• 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.

Nice to have

• Experience in time series forecasting.
• Familiarity with popular NLP libraries and frameworks (e.g., Hugging Face Transformers, spaCy, NLTK).
• Proven experience in web scraping and data extraction.

Benefits

• Competitive salary
• Flexible work environment
• Flexible work hours
• Unlimited PTO