 
						Senior Data Scientist
12 hours ago
Description :
    About The Opportunity :
 Advanced knowledge of Python, SQL and Excel.
    - R and JavaScript knowledge is nice to have, Experience with typical data science packages : numpy, pandas, matplotlib/seaborn, scikit-learn, scipy, statsmodels, and TensorFlow/Pytorch.
    - Proven experience handling end-to-end data science projects starting from problem understanding, data cleaning and analysis, modelling, testing and (ideally) deployment.
    - Knowledge of MLOps principles and tools : cloud technologies, version control, and microservices.
    - Role : Senior Data Scientist (On-site, India).
Role & Responsibilities :
    - Lead end-to-end ML projects : translate business problems into technical solutions, design experiments, and deliver production-ready models.
    - Develop, validate, and optimize supervised and unsupervised models using Python, PySpark, and modern ML frameworks for tabular, time-series, and NLP tasks.
    - Productionize models : implement deployment pipelines, CI/CD best practices, and ensure model monitoring, retraining, and observability in live environments.
    - Partner with engineers and product owners to integrate ML services into scalable APIs and data platforms; define SLAs and performance targets.
    - Drive model governance : implement robust evaluation, bias checks, and documentation for reproducibility and auditability.
    - Mentor junior data scientists, perform code reviews, and establish engineering standards for reproducible data science workflows.
Skills & Qualifications :
Must-Have :
 Advanced knowledge of Python, SQL and Excel.
    - R and JavaScript knowledge is nice to have, Experience with typical data science packages : numpy, pandas, matplotlib/seaborn, scikit-learn, scipy, statsmodels, and TensorFlow/Pytorch Proven experience handling end-to-end data science projects starting from problem understanding, data cleaning and analysis, modelling, testing and (ideally) deployment Knowledge of MLOps principles and tools : cloud technologies, version control, and microservices.
    - Strong proficiency in Python for data science workflows.
    - Advanced SQL skills for data extraction, validation, and performance tuning.
    - Experience with PySpark or distributed data processing frameworks.
    - Practical experience with Scikit-learn and TensorFlow (or equivalent deep-learning frameworks).
    - Track record of model deployment and productionization, including monitoring and lifecycle management.
Preferred :
    - Experience with Docker and Kubernetes for containerized deployments.
    - Familiarity with MLflow or similar model registry and MLOps tooling.
    - Prior experience in a consulting or client-facing delivery role working with enterprise stakeholders.
    - Location : India (On-siteAny tier-1 City) If you are a senior-level data scientist who thrives on ownership, productionizing ML, and working closely with clients to solve complex problems, we encourage you to apply.
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