About Us
We're a fast-moving startup on a mission to revolutionize the call centre industry using the power of AI and Large Language Models. We’re building intelligent systems to enhance customer experience, supercharge agent performance, and drive operational excellence.
Through advanced conversational AI, we build systems that understand, adapt, and evolve with every conversation. Our platform powers decision-support tools and intelligent virtual agents helping call centers deliver faster, smarter, and more human customer service—where every interaction matters.
As a Data Scientist on our founding team, you won’t just analyze data—you’ll shape the foundation of how our AI learns, reasons, and improves. You’ll uncover patterns, define features, annotate datasets, evaluate model performance, and generate the insights that drive smarter agents and better experiences. If you're excited to work with messy, high-impact data and build real systems that scale, we want you on board.
What You’ll Do
- Clean, normalize, and annotate structured and unstructured customer data (voice transcripts, chat logs, emails, metadata)
- Conduct exploratory data analysis to uncover insights from omnichannel interactions
- Partner with ML engineers to define and prepare training, validation, and inference datasets
- Identify key features and design customer segmentation and prediction models
- Collaborate with stakeholders to define data requirements, success metrics, and experiment design
- Contribute to product decisions using evidence from statistical analysis and A/B testing
- Monitor and improve the quality of annotated data used in LLM fine-tuning and evaluation
What You Bring
- 3–6 years of experience in a data science or applied analytics role, ideally in customer support
- Fluency in Python, SQL, and common data science libraries (Pandas, NumPy, scikit-learn, etc.)
- Experience working with messy real-world data and incomplete or noisy labels
- Familiarity with annotation tools (e.g., Prodigy, Label Studio, LightTag)
- Understanding of supervised learning, statistical inference, and feature engineering
- Strong communication skills
- Curiosity, ownership, and a habit of documenting and automating your work
Bonus Experience
- Prior work with call center data, voice analytics, or customer experience platforms
- Experience with conversational AI, LLM evaluation, or NLP preprocessing
- Hands-on experience designing A/B tests or analyzing user behavior in production systems
- Exposure to MLOps tools like Airflow, dbt, or MLflow
Why Join Us?
- Be part of a mission-driven startup from the ground up.
- Shape the future of AI in a high-impact, real-world industry.
- Work remotely with flexibility and autonomy.
- Competitive compensation