Senior Data Scientist - Partner Content

Your wellbeing matters. Join a company that cares.

GET TO KNOW US

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.

THE OPPORTUNITY

We 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.

As a Data Scientist in the Partner Content team, you will play a crucial role in applying AI models that can generate content leveraging existing data and gathering additional data to understand user behavior and preferences to provide insights to product development. You will collaborate with a multidisciplinary team of engineers, PMs, and Tech Leads to create innovative AI applications that solve real-world problems.

YOUR IMPACT

GenAI : 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, including performing large language models (LLMs) fine-tuning and optimization for enhanced model performance.

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.

Embeddings:

Develop and utilize embeddings to represent complex data types (e.g., text, images).

Research and Innovation:

Stay current with the latest research in generative AI and propose new approaches.

Collaboration:

Work closely with cross-functional teams to integrate generative models into products and services.

Evaluation and Testing:

Develop and implement rigorous testing and evaluation frameworks to assess model performance.

Documentation:

Maintain comprehensive documentation of models, algorithms, experiments, and processes.

WHO YOU ARE

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).

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;

Familiarity 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%. For this specific role, please note that prior experience in Data Science and GenAI applications is mandatory.

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!

WELLNESS:

Health, dental, and life insurance.

FLEXIBLE WORK:

We offer two work model options: flexible hybrid and full remote.

FLEXIBLE SCHEDULE:

Flexibility to adjust working hours based on personal schedules.

WELLHUB:

Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources.

PAID TIME OFF:

Vacations after 6 months and additional days off based on tenure.

PAID PARENTAL LEAVE:

100% paid parental leave for 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.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer.
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