Data Science Director | Generative AI

Wellhub (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. This transformation reflects our evolution from a “pass for gyms” to a comprehensive employee wellbeing solution. With our refreshed identity, we are poised to embark on an exciting new chapter of growth and expansion. We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners. Learn more about it here.

THE OPPORTUNITY:

We are hiring a Director Data Scientist for our GenAI team in Brazil!

Our GenAI team leverages advanced AI technologies to personalize user experiences, streamline operations, and optimize resources, acting as a hub for innovation while enabling Wellhub to harness the full potential of generative AI across multiple domains.

We are looking for a talented and motivated Director Data Scientist to join us and contribute to groundbreaking projects in the field of Generative AI.

YOUR IMPACT:

As the Data Science Director specializing in Generative AI, you will spearhead the strategy, development, and deployment of AI models that can generate content, solutions, and insights across various domains. You will lead a multidisciplinary team of data scientists and domain experts, guiding them to create innovative AI applications that solve real-world problems and push the boundaries of what AI can achieve.

• Strategic Leadership: 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.
• Model Development Oversight: 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.
• Innovation and Research: 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.
• Collaboration and Stakeholder Management: 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.
• Team Development and Mentorship: Build and mentor a high-performing data science team. Provide career development opportunities, technical training, and foster a collaborative environment.
• Model Fine-Tuning and Optimization: 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.
• Prompt Engineering and Evaluation: Guide the development and refinement of prompts to enhance the performance and output quality of generative models. Establish and oversee rigorous testing and evaluation frameworks to assess model performance, robustness, and reliability.
• Deployment and Scalability: 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.
• Documentation and Knowledge Sharing: Ensure comprehensive documentation of models, algorithms, experiments, and processes to support reproducibility and foster a culture of knowledge sharing within the team and organization.
• Leadership:
• Lead a team of highly autonomous, proactive and motivated data scientists.
• Periodically monitor and own your team’s health, while promoting a highly psychologically safe environment which welcomes ideas and different points of view.
• Drive critical projects from the architectural design to implementation.
• Plan and successfully deliver cross team projects.
• Provide estimates on efforts and risks, evaluating technical feasibility on cross-functional high-impact projects.
• Live the mission: 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.

Who You Are:

• Advanced Degree: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
• Technical Expertise: 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.
• Leadership Experience: Proven experience leading data science teams, with a track record of delivering high-impact AI solutions in production environments.
• Strategic Thinking: Strong problem-solving abilities, with a focus on strategic planning, experimental design, and data analysis. Ability to align technical efforts with business objectives.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and executive leadership.
• The following are preferred qualifications:
• Expertise in model fine-tuning, hyperparameter optimization, and deployment.
• Proven track record of developing and deploying generative AI models in production environments.
• Familiarity with natural language processing (NLP) and/or computer vision applications.
• Experience with vector databases for handling high-dimensional data.

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don’t match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience leading data science teams working in AI solutions and extensive experience in Python and machine learning frameworks are mandatory requirements.

What We Offer You:

We’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!

Our Benefits Include:

WELLNESS: Health, dental, and life insurance.

FLEXIBLE WORK: At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone. As a Flexible First company, we offer two work model options: flexible hybrid and full remote, and make the office a place for collaboration, community, and team building. The model for this role can be discussed with your recruiter and hiring manager. We offer all employees a home office stipend and a monthly flexible work allowance to help cover the costs of working from home.

FLEXIBLE SCHEDULE: Wellhubbers and their leaders can make the best decisions for their scope. This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.

WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too. Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.

PAID TIME OFF: We know how important it is that our employees take time away from work to recharge.