Descrição

About Open Data Science

We are an HR Tech startup building solutions focused on reengineering the recruitment life cycle and solving the biggest challenges in talent acquisition. Our innovative approach leverages hundreds of data points to build a true reflection of each person's experience and enrich clients' candidate databases with up-to-date employment and education history, skills, and experience in a matter of seconds.

• Job Description:
• Taking ownership of data science, working directly with the Head of Product and founders to drive innovation in hiring.
• Planning and presenting progress on data science work to a business audience, showcasing expertise in data-driven problem-solving.
• Learning how our products work and understanding customer needs to evaluate how data science contributes to customer value.
• Collaborating closely with the Engineering team lead and software engineers to integrate our data science stack into our product.
• Evaluating and improving current models for skills extraction and matching, while constantly seeking new data sources for skills assessment purposes.
• Implementing best practices for retraining models and monitoring their performance in production (MLops).
• Deploying ML models in the production environment.

• Requirements:
• 3+ years of professional experience in data science.
• Experience with NLP problems, including NER, sentence embeddings, unsupervised learning, and SOTA models.
• Familiarity with OpenAI and proficiency in Python and machine learning frameworks.
• Experience with lean/agile development and test-driven development practices is preferred.
• Understanding of the AWS ecosystem for ML and experience with OCR, CV models, and techniques would be beneficial.
• Ability to communicate effectively in English, both orally and in writing.

• Working Conditions:
• Competitive salary and stock options.
• Relocation opportunity to Portugal.
• Work in a remote-friendly environment with a flexible schedule.
• Geo-distributed team of experienced professionals and a collaborative work environment where employees are respected, supported, and engaged.
• Career development opportunities, including attendance at international conferences and meetups, and networking.