Data Scientist

Position: Data Scientist

Location: Brazil

About RHEI:

RHEI is a creator economy company advancing the industry by helping creators, media companies and brands find success through digital content. We provide end-to-end solutions to help creators and media companies grow their audiences and revenue, while helping brands connect to hard-to-reach digital fans. Our proprietary technologies leverage generative AI, machine learning, digital signal processing and big data to power our platform and ecosystem, and we are the largest multi-vertical video publisher in the world, reaching tens of billions of monthly views and over 600 million monthly uniques.

About the role:

As a Data Scientist, you will use your expertise in data analysis, machine learning, and statistical modeling to help us improve and optimize our SaaS product. You will work closely with cross-functional teams (Product, Engineering, Marketing, etc.) to uncover actionable insights, enhance customer experience, and drive business growth through data-driven decision-making.

As RHEI is a high growth company, you should enjoy working in an entrepreneurial, high change environment. RHEI has a remote work model which offers the best work life balance.

Key Responsibilities:

• Analyze large datasets from multiple sources (e.g., product usage, user behavior, customer feedback) to derive actionable insights that inform product development and business strategies.
• Build and deploy machine learning models to solve key business problems (e.g., churn prediction, user segmentation, recommendation systems).
• Work with product and engineering teams to design and implement A/B tests, track product performance, and evaluate the impact of product features.
• Create interactive dashboards and reports to communicate data insights to both technical and non-technical stakeholders.
• Provide thought leadership on data best practices, methodologies, and tools.
• Design and implement data pipelines to ensure high-quality, reliable, and scalable data for analysis.
• Collaborate with business leaders to define KPIs and metrics to measure the success of SaaS product features and initiatives.
• Continuously monitor and optimize models for accuracy and performance.

Key Requirements:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (or equivalent practical experience).
• 3+ years of experience in data science, preferably in a SaaS or tech product environment.
• Proficiency in programming languages such as Python, R, or similar, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and working with relational and non-relational databases.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and creating meaningful insights for a variety of stakeholders.
• Solid understanding of machine learning algorithms, statistical models, and experimentation techniques (e.g., A/B testing).
• Ability to communicate complex findings in a clear and concise manner to both technical and business audiences.
• Experience working in Agile environments and collaborating with cross-functional teams.
• Knowledge of cloud platforms (e.g., AWS, Google Cloud) is a plus.