DHI Solutions - Senior Data Scientist

About The Role

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.
  

Must-Have Skills

• 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.