About the position
Retailers and CPG brands rely on product data to make critical decisions, but outdated systems limit what’s possible. Harmonya changes that.
Our AI-powered solutions transform fragmented, inconsistent product data into a dynamic, structured, and enriched source of truth. By analyzing trillions of alternative data points, we help leading CPGs and retailers—including Coca-Cola, Nestle, PepsiCo, and more—gain deeper insights, improve product discovery, and make smarter, faster decisions.
About the position:
We are looking for a talented, motivated, and results-driven Data Scientist to join our dynamic team. As a part of our growing data science team, you’ll play a key role in refining, enhancing, and delivering existing products, while also contributing to the research and innovation of new solutions. This is a fantastic opportunity to impact real-world applications and help shape our product offerings.
Responsibilities
- Enhance, maintain, and scale existing ML products, ensuring they meet performance and reliability standards.
- Develop robust, efficient, and clean Python-based implementations for machine learning pipelines and products.
- Collaborate closely with team members and stakeholders, including product managers, to align technical solutions with business objectives.
- Contribute applied research, experimentation, and development efforts that continuously improve and evolve our products.
- Stay up-to-date with the latest advancements in machine learning, sharing insights to foster continuous learning and improvement within the team.
Requirements
- 3+ years of experience in data-focused roles (e.g., data science, analytics, or data engineering), with a proven track record of delivering impactful solutions.
- Proficiency in Python and associated ML libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn).
- Willingness and ability to learn new domains, data sources, and methodologies quickly, and apply them to real-world product challenges.
- Strong problem-solving skills and the ability to adapt to new challenges and domains.
- Experience with end-to-end data workflows, from exploration to deployment and monitoring.
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related technical field
Advantages:
- Experience working with LLMs
- Experience working on agents
