Remote Senior Data Scientist
Gympass
πRemote - Brazil
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Job highlights
Summary
Join a company that cares about wellbeing and is hiring a Senior Data Scientist to its Partner Content team in Brazil. As a Data Scientist, you will play a crucial role in applying AI models to generate content, leverage existing data, and gather additional data to understand user behavior and preferences. You will collaborate with a multidisciplinary team of engineers, PMs, and Tech Leads to create innovative AI applications that solve real-world problems.
Requirements
- Bachelor's or Masterβs 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
- Apply 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
- Collaborate with a multidisciplinary team of engineers, PMs, and Tech Leads to create innovative AI applications that solve real-world problems
- 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
- Develop and refine prompts to enhance the performance and output quality of generative models
- 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
- Maintain comprehensive documentation of models, algorithms, experiments, and processes to ensure reproducibility and knowledge sharing
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
- WELLNESS: Health, dental, and life insurance
- FLEXIBLE WORK: Flexible hybrid and full remote work options
- FLEXIBLE SCHEDULE: Flexibility to adjust working hours based on personal schedule, time zone, and business needs
- WELLHUB: Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more
- PAID TIME OFF: 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 birthday
- PAID PARENTAL LEAVE: 100% paid parental leave to all new parents and extended maternity leave
- CAREER GROWTH: Outstanding opportunities for personal and career growth
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