Senior Data Scientist

Summary

Join Wellhub, a corporate wellness platform, as a Senior Data Scientist in our Partner Content team in Brazil! You will play a crucial role in applying AI models to generate content, understand user behavior, and provide insights for product development. Collaborate with engineers, PMs, and Tech Leads to create innovative AI applications. Responsibilities include GenAI opportunities identification, data insights provision, model fine-tuning, prompt engineering, data preparation, embedding development, research and innovation, collaboration, evaluation and testing, and documentation. We offer a flexible work environment, comprehensive benefits, and opportunities for career growth. Prior experience in Data Science and GenAI applications is mandatory.

Requirements

• Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field
• Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar
• Knowledge of generative models, including GANs, VAEs, autoregressive models, and transformers
• Strong problem-solving abilities, with a focus on experimental design and data analysis
• Excellent verbal and written communication skills (both in English and Portuguese), with the ability to explain complex technical concepts to non-technical stakeholders

Responsibilities

• Identify opportunities to use GenAI to address business challenges, enhance existing processes, or create innovative solutions
• Provide data insights and support product decisions leveraging existing data or gather additional data to understand user behavior
• Fine-tune pre-trained models to adapt to specific use cases and requirements, including performing large language models (LLMs) fine-tuning and optimization for enhanced model performance. Additionally, collaborate with data scientists to annotate and preprocess data for model training, ensuring the models are tailored effectively to the intended applications
• Develop and refine prompts to enhance the performance and output quality of generative models, ensuring that the models respond accurately and relevantly to various input scenarios
• Collect, preprocess, and analyze large datasets to ensure high-quality input data for training generative models
• Develop and utilize embeddings to represent complex data types (e.g., text, images) in a way that facilitates the generation of meaningful and accurate outputs
• Stay current with the latest research in generative AI, propose new approaches, and contribute to the academic and technical community through publications and presentations
• Work closely with cross-functional teams to integrate generative models into products and services, ensuring they meet business objectives and user needs
• Develop and implement rigorous testing and evaluation frameworks to assess model performance, robustness, and reliability. Collaborate with the Data team in order to improve our internal ML Ops platform
• Maintain comprehensive documentation of models, algorithms, experiments, and processes to ensure reproducibility and knowledge sharing
• Inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance

Preferred Qualifications

• Proficient in model fine-tuning and hyperparameter optimization
• Proven track record of developing and deploying generative AI models in production
• Familiarity with natural language processing (NLP) and/or computer vision applications
• Familiarity with vector databases for handling high-dimensional data

Benefits

• Health, dental, and life insurance
• Flexible hybrid and full remote work options; home office stipend and a monthly flexible work allowance
• Flexible schedule to adjust working hours based on personal schedule, time zone, and business needs
• Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. Gold plan at no cost, and other premium plans significantly discounted
• Vacations after 6 months and 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + extra day off for your birthday
• 100% paid parental leave to all new parents and extended maternity leave
• Outstanding opportunities for personal and career growth