Your wellbeing matters.
Join a company that cares.GET TO KNOW USWellhub (formerly Gympass*) is a corporate wellness platform that connects employees to the best partners for fitness, mindfulness, therapy, nutrition, and sleep, all included in one subscription designed to cost less than each individual partner.
Founded in 2012 and headquartered in NYC, we have a growing global team in 11 countries.
At Wellhub, you have the opportunity to build a career in a high-growth tech company that places wellbeing at the foundation of its culture, and contribute to making every company a wellness company.
*Big news: Gympass is now Wellhub!We are thrilled to announce our rebranding as Wellhub, marking a significant milestone in our journey.THE OPPORTUNITYWe are hiring a Senior Data Scientist to our Partner Content (CODE) team in Brazil!CODE is an acronym for Consumer Digital Experience, which means we're in charge of the experience and services that will guide people in their wellbeing journey.
Our main goal in CODE is to make every company a wellness company.
From knowing about Wellhub, and getting access to exclusive benefits, to using our vast partner's network, it is in the end-user experience.As a Data Scientist in the Partner Content team, you will play a crucial role in applying AI models that can generate content leverage existing data (reviews, check-ins, partner usage, time/consistency patterns) and gather additional data to understand user behavior and preferences to provide insights to product development.YOUR IMPACTGenAI: Identifying opportunities to use GenAI to address business challenges, enhance existing processes, or create innovative solutions.Data insights: Provide data insights and support product decisions leveraging existing data or gather additional data to understand user behavior.Model Fine-tuning: Fine-tune pre-trained models to adapt to specific use cases and requirements.Prompt Engineering: Develop and refine prompts to enhance the performance and output quality of generative models.Data Preparation: Collect, preprocess, and analyze large datasets to ensure high-quality input data for training generative models.Research and Innovation: Stay current with the latest research in generative AI.Collaboration: Work closely with cross-functional teams to integrate generative models into products and services.Documentation: Maintain comprehensive documentation of models, algorithms, experiments, and processes.Live the mission: Inspire and empower others by genuinely caring for your own wellbeing and your colleagues.WHO YOU AREBachelor'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).The following are 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;WHAT WE OFFER YOUWe're a wellness company that is committed to the health and wellbeing of our employees.
Our flexible program allows you to customize your benefits, according to your needs!WELLNESS: Health, dental, and life insurance.FLEXIBLE WORK: At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone.PAID TIME OFF: We know how important it is that our employees take time away from work to recharge.PAID PARENTAL LEAVE: We offer 100% paid parental leave to all new parents.CAREER GROWTH: Outstanding opportunities for personal and career growth.CULTURE: An exciting and supportive atmosphere with ambitious people from around the world!Diversity, Equity, and Belonging at Wellhub: We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.
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