[HCM] Senior Data Scientist

Why Join Us?

We are building an intelligent AI platform that powers autonomous web interactions for enterprises — enabling smarter, faster, and data-driven decision-making.

As a Senior Data Scientist, you will work at the intersection of machine learning, experimentation, and product innovation. You’ll bridge the gap between research and production, grounding modeling work in deep data understanding and measurable business impact.

You’ll collaborate with highly experienced engineers and product leaders to shape how AI systems learn, decide, and act at scale.

What You’ll Do

• Collaborate with cross-functional teams to define metrics, hypotheses, and success criteria for ML-powered products.

• Work closely with product and engineering teams to identify data-driven opportunities that enhance user experience and system efficiency.

• Translate product goals into measurable metrics and modeling problems.

• Conduct exploratory data analysis to identify opportunities for model improvement or new capabilities.

• Develop statistical, predictive, and generative models using modern ML techniques.

• Design and run A/B tests to evaluate model and feature performance.

• Build and maintain reproducible workflows for data cleaning, feature engineering, and experiment tracking.

• Partner with ML Engineers to productionize and monitor models at scale.

• Communicate insights and recommendations clearly to both technical and non-technical stakeholders.

What We’re Looking For

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, or a related field.

• 3+ years of applied experience in data science or machine learning roles.

• Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).

• Expertise in statistical modeling, experimentation, and causal inference.

• Familiarity with big data technologies (Spark, BigQuery, Databricks).

• Excellent analytical and problem-solving skills with focus on measurable impact.

• Strong English communication skills to collaborate with global teams.

Preferred Qualifications

• Strong product intuition — able to translate product goals into clear analytical or modeling tasks.

• Experience defining success metrics and evaluating ML-driven product features.

• Experience with LLM-related data preparation, evaluation, or retrieval-augmented generation.

• Experience building dashboards or internal analytics tools (Streamlit, Dash, Looker).

• Familiarity with MLOps workflows for reproducibility and model governance.