Technology and Product Data Science Director

3 settimane fa

Roma, Lazio, Italia Wellhub Inc. A tempo pieno
About the Role

We are seeking a highly skilled Director of Data Science to lead our GenAI team in Brazil. As a key member of our team, you will be responsible for spearheading the strategy, development, and deployment of AI models that can generate content, solutions, and insights across various domains.

Key Responsibilities
  • Define the vision and strategic roadmap for the GenAI data science team, aligning projects with business objectives and ensuring the delivery of high-impact AI solutions.
  • Lead the design, implementation, and optimization of generative models using advanced machine learning and deep learning techniques, including GANs, VAEs, autoregressive models, and transformers.
  • Provide technical guidance to the team to ensure best practices in model development.
  • Drive research initiatives to stay at the forefront of generative AI, fostering a culture of innovation.
  • Evaluate and integrate the latest advancements in the field to maintain a competitive edge.
  • Partner with cross-functional teams, including product management, engineering, and operations, to integrate generative models into products and services.
  • Ensure that AI solutions meet business goals and user needs.
  • Build and mentor a high-performing data science team.
  • Provide career development opportunities, technical training, and foster a collaborative environment.
  • Oversee the fine-tuning of pre-trained models to adapt to specific use cases and requirements, ensuring optimal performance.
  • Guide the team in data annotation, preprocessing, and customization of models for various applications.
  • Establish and oversee rigorous testing and evaluation frameworks to assess model performance, robustness, and reliability.
  • Collaborate with engineering leaders to ensure the scalable and efficient deployment of models in production environments.
  • Drive the adoption of best practices in ML Ops and model lifecycle management.
  • Ensure comprehensive documentation of models, algorithms, experiments, and processes to support reproducibility and foster a culture of knowledge sharing within the team and organization.
Requirements
  • Advanced Degree: Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
  • Extensive experience in Python and machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Deep knowledge of generative models, including GANs, VAEs, autoregressive models, and transformers.
  • Proven experience leading data science teams, with a track record of delivering high-impact AI solutions in production environments.
  • Strong problem-solving abilities, with a focus on strategic planning, experimental design, and data analysis.
  • Ability to align technical efforts with business objectives.
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and executive leadership.
What We Offer

We are a wellness company that is committed to the health and well-being of our employees. Our benefits include:

  • Access to digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more.
  • A fitness subsidy to access onsite gyms and fitness studios.
  • A flexible work arrangement, allowing you to choose when and where you work.
  • A flexible schedule, allowing you to adjust working hours based on personal schedule, time zone, and business needs.
  • Paid time off, including a minimum of 25 days paid holiday per year, with an additional day for each year of tenure (up to 5).
  • 100% paid parental leave to all new parents and extended maternity leave.
  • Outstanding opportunities for personal and career growth.
About Wellhub

Wellhub 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. We are a growing global team in 11 countries, and we are committed to creating a collaborative, supportive, and inclusive space where everyone knows they belong.

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