Join Wellhub's CARE team in Brazil as a Senior Data Scientist and contribute to groundbreaking projects in Generative AI, fine-tuning of LLMs, and evaluation of Agentic systems to shape the future of AI-powered wellness solutions by developing cutting-edge Agentic AI that enhance and personalize the wellness journey for millions of Wellhub subscribers, collaborating with a multidisciplinary team to create innovative AI applications.

As a Data Scientist you will develop and deploy machine learning models that will drive business decisions and improve user experience. You will utilize your strong problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale, creating stable models for a production environment.

As a Data Scientist II, you will extract and analyze data and contribute to business problem solutions using data science analysis, coding, technical tools, and automation techniques. You will work autonomously on tasks and components of projects and professionally mentor other teammates. You will also develop and apply statistical, logical, and/or machine-learning-based data science algorithms.

The AI Data Specialist will develop and maintain robust data pipelines, ensuring data quality, and performing advanced data analysis to support business objectives. They'll leverage their expertise in machine learning and data management to optimize models and automate processes, contributing to the enhancement of customer engagement strategies and overall business performance.

As a Data Scientist, you will work closely with internal teams and external stakeholders to understand their challenges and deliver data-driven solutions. You'll analyze data, deploy machine learning models, and collaborate with teams to convert data into actionable strategies, influencing real-world decisions and optimizing business practices.

Drive the development and implementation of cutting-edge machine learning algorithms and train sophisticated models; collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services; design system and model architectures.

This internship at PrizePicks offers students the opportunity to work with the data science team on complex sports modeling problems, contributing to model development while researching innovative approaches to fantasy sports challenges. Ideal candidates have a strong technical background in computer science, statistics, or related fields, with proficiency in Python and SQL, and a passion for sports analytics.

Leverage your analytical skills to identify patterns, trends, and insights in large data sets. Use industry standard techniques to create features, clean datasets and develop pipelines to train and serve our models. Evaluate the credit risk of potential borrowers using your developed models, effectively assigning credit scores or probability of default values.

Support daily data science team activities, including data collection, cleaning, and preprocessing. Build and optimize machine learning models and conduct exploratory data analysis (EDA) to develop dashboards and visualizations for insights. This is a time-limited internship opportunity.

Help ensure the successful rollout of financial dashboards to end users as well as the sustainment of the Oracle ERP technology and financials modules for our DoD client, performing financial data collection, analyzing data, and recommending corrective actions, and documenting SOPs.