Job Title

We are looking for aSenior Data Scientistwho can translate business problems into scalable analytical models and lead the design of AI-driven solutions. You will work at the intersection ofdata, domain, and decision-making , collaborating with engineering and strategy teams to operationalize machine learning in real-world contexts. Key ResponsibilitiesLead end-to-end data science initiatives — fromproblem framing and data exploration to model deployment . Build and optimizepredictive, prescriptive, and generative modelsusing modern ML techniques. Partner withdata engineeringteams to ensure robust data pipelines and governance for model reliability. Define and implementmodel 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 & Experience10+ yearsof total experience, with5+ yearsin applied data science or machine learning. Expertise inPython ,SQL , and ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow). Strong foundation instatistics, optimization, and data storytelling . Experience withcloud environments(AWS, Azure, or GCP) andMLOpsframeworks (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 inenergy, commodities, or financial analytics . Excellent communication and mentoring abilities; comfortable working in client-facing roles. Nice to HaveExperience integrating data science intodata platforms or governance frameworks . Prior experience in consulting or product environments.