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Urgent! Senior Data Scientist Job Opening In New Delhi – Now Hiring Veraxion

Senior Data Scientist



Job description

We are looking for a Senior Data Scientist who can translate business problems into scalable analytical models and lead the design of AI-driven solutions.

You will work at the intersection of data, domain, and decision-making, collaborating with engineering and strategy teams to operationalize machine learning in real-world contexts.

Key Responsibilities

- Lead end-to-end data science initiatives — from problem framing and data exploration to model deployment.

- Build and optimize predictive, prescriptive, and generative models using modern ML techniques.

- Partner with data engineering teams to ensure robust data pipelines and governance for model reliability.

- Define and implement model evaluation frameworks — accuracy, drift detection, explainability, and impact metrics.

- Mentor junior data scientists and analysts; establish coding and experimentation best practices.

- Collaborate with business stakeholders to identify high-value AI use cases and prototype proofs of concept.

Required Skills & Experience

- 10+ years of total experience, with 5+ years in applied data science or machine learning.

- Expertise in Python, SQL, and ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow).

- Strong foundation in statistics, optimization, and data storytelling.

- Experience with cloud environments (AWS, Azure, or GCP) and MLOps frameworks (SageMaker, MLflow, Kubeflow).

- Exposure to LLMs, NLP, or Generative AI for applied use cases.

- Ability to translate domain-specific challenges into measurable data science outcomes — ideally in energy, commodities, or financial analytics.

- Excellent communication and mentoring abilities; comfortable working in client-facing roles.

Nice to Have

- Experience integrating data science into data platforms or governance frameworks.

- Prior experience in consulting or product environments.


Required Skill Profession

Prb



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