Thiruvananthapuram, Kerala, India
Information Technology
Full-Time
DHI Solutions
Overview
About The Role
We are looking for a Senior Data Scientist to lead the design and development of intelligent, data-driven systems that power talent discovery, candidate-job matching, and workforce insights. In this role, you'll build and deploy models that process unstructured data at scale, extract actionable insights, and deliver real-time recommendations to enhance decision-making across the talent lifecycle.
If you're passionate about building smart systems that solve real-world problems in the intersection of data, people, and technology this is your calling.
Key Responsibilities
We are looking for a Senior Data Scientist to lead the design and development of intelligent, data-driven systems that power talent discovery, candidate-job matching, and workforce insights. In this role, you'll build and deploy models that process unstructured data at scale, extract actionable insights, and deliver real-time recommendations to enhance decision-making across the talent lifecycle.
If you're passionate about building smart systems that solve real-world problems in the intersection of data, people, and technology this is your calling.
Key Responsibilities
- Build and optimize machine learning models for use cases like candidate-job matching, resume parsing, talent ranking, recommendation systems, and profile enrichment.
- Apply NLP techniques to extract and analyze insights from large volumes of unstructured data (resumes, job descriptions, interviews, etc.).
- Lead experimentation efforts including A/B testing, model comparisons, and business metric evaluation.
- Collaborate with product, engineering, and data teams to productionize ML pipelines and ensure model reliability at scale.
- Develop interpretable models and frameworks that deliver explainable AI (XAI) capabilities.
- Identify and evaluate data sources (internal & external) for enhancing model performance and domain coverage.
- Design and maintain systems to monitor model drift, retraining workflows, and feature performance in production.
- 5+ years of hands-on experience in data science or machine learning roles, ideally in search, recommendation, or NLP-focused systems.
- Strong proficiency in Python, including packages like scikit-learn, spaCy, transformers, pandas, NumPy, TensorFlow, or PyTorch.
- Experience with natural language processing (NLP), including named entity recognition, embeddings, text classification, and semantic search.
- Solid experience working with structured and unstructured data, and building scalable data pipelines.
- Strong command over SQL and experience with distributed data systems (e.g., Snowflake, BigQuery).
- Demonstrated experience taking models from experimentation to production, with clear metrics and monitoring in place.
- Excellent problem-solving and communication skills with the ability to work Skills :
- Knowledge of recommendation engines, graph-based models, or search ranking algorithms.
- Exposure to cloud platforms like AWS, Azure, or GCP, and MLOps workflows (CI/CD for models).
- Experience in talent tech, HR tech, or recruitment intelligence platforms is a strong plus.
- Familiarity with vector databases, embeddings, and semantic similarity search.
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