Data Scientist

Introduction

We are seeking a versatile Data Scientist to join our team and help shape the future of our business operations. This role is a unique hybrid of classical machine learning and applied AI. You will tackle diverse and impactful projects, from building predictive models that drive key business decisions to characterizing and optimizing the performance of our emerging AI agentic systems. In this role, you will act as both a builder, developing and deploying ML models, and a strategic partner, consulting with business teams to unlock new opportunities with data and AI. If you are passionate about wearing multiple hats, working in a fast-paced setting, and delivering high-quality, impactful work.

Responsibilities

• Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, and finance forecasting.
• Collaborate with Business Teams: Work closely with various business teams to understand their needs and provide data-driven solutions. Use your expertise in AI and ML to drive strategic decision-making.
• Research & Development: Stay up-to-date with the latest advancements in AI and ML technologies. Conduct research and experiments to improve existing models and explore new opportunities.
• Data Analysis: Collect, clean, and analyze data to extract valuable insights. Use statistical techniques to interpret data and communicate findings to stakeholders.
• Optimize AI Systems: Monitor and optimize the performance of AI systems to ensure efficiency and accuracy. Implement improvements based on feedback and data analysis.

Requirements

Required Skills: Artificial Intelligence, Business Operations, Forecasting, Machine Learning (ML), Marketing, HATS

Preferred Skills: Experience with Python, R, SQL, Data Visualization tools