Senior Data Scientist_5+years

About The Opportunity

5+ 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/PytorchProven experience handling end-to-end data science projects starting from problem understanding, data cleaning and analysis, modelling, testing and (ideally) deploymentKnowledge 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

• 5+ 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-site- Any 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.Skills: tensorflow,python,scikit-learn,sql,model deployment