Job Description

Job Description: Senior Data Scientist (Strong AI/ML Focus)

Role Overview

We are seeking a highly experienced Senior Data Scientist with 8 10 years of industry experience and strong AI/ML expertise to design, develop, and deliver advanced data science and machine learning solutions. This role blends deep statistical and analytical skills with hands-on AI/ML model development, driving both strategic insights and production-grade models.

The ideal candidate will work at the intersection of data, machine learning, and business-owning complex problem statements end to end and influencing decision-making at scale.

Key Responsibilities

• Lead end-to-end data science and AI/ML initiatives from problem formulation to deployment and impact measurement.

• Partner with business and product stakeholders to translate business challenges into data science and machine learning solutions.

• Perform deep exploration data analysis on large, complex datasets to uncover patterns, risks, and opportunities.

• Knowledge of AI integration over cloud platforms (e.g. GCP, Azure)

• Design, build, train, and evaluate machine learning models (supervised, unsupervised, and ensemble methods).

• Apply advanced techniques including RAG, LLMs. In addition, knowledge of graphDB (e.g. neo4j)

• Develop and evaluate experiments (A/B testing, causal inference, hypothesis testing) to guide decision-making.

• Collaborate closely with data engineers and ML engineers to productionize models and analytics pipelines.

• Ensure models meet standards for performance, scalability, explainability, and reliability.

• Monitor model performance and data drift; recommend retraining or enhancements as needed.

• Apply best practices for MLOps, including CI/CD for ML, model versioning, experiment tracking, and drift detection.

• Communicate insights, model results, and recommendations clearly to technical and senior business stakeholders.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field (PhD is a plus).

• 8 10 years of hands-on experience in data science with significant focus on AI/ML applications.

• Strong proficiency in Python and data science/ML libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, LangChain, Llamaindex or similar.

• Solid grounding in statistics, probability, and machine learning theory.

• Proven experience building, validating, and deploying ML models for real-world business use cases.

• Advanced SQL skills and experience working with large-scale datasets.

• Experience collaborating with engineering teams to operationalize models in production environments.

• Ability to independently own complex, ambiguous problem statements.

Preferred / Nice-to-Have Skills

• Experience with NLP.

• Exposure to Generative AI, LLMs, prompt engineering, or model fine-tuning.

• Familiarity with MLOps practices and tools (MLflow, Airflow, Docker, Kubernetes).

• Knowledge of model explainability, bias detection, and responsible AI practices.

• Experience working in regulated, risk-sensitive, or safety-critical domains.

Soft Skills

• Strong analytical and problem-solving mindset.

• Ability to influence decisions using data and clear storytelling.

• Leadership and mentorship capabilities.

• Effective communication with both technical and non-technical audiences.

• Proactive, curious, and outcome-oriented approach.

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