Senior Data Scientist (4-8 yrs)

We are hiring for Senior data Scientist for our MNC client in Bangalore location.

Mandatory Skills : Data scientist , Machine Learning , SQL , Devops , Azure , Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow , OpenShift/Kubernetes, Azure ML is desirable

Role Summary :

- Sr. Data Scientist will work in developing end-to-end analytics solutions. The toolsets may include Python, various database types, ETL tools and other technologies offered by Microsoft

JD :

Qualifications/Requirements :

- Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience.

- Total of 6 to 10 years of professional experience.

- Minimum 4 years of experience in data science/machine learning.

- Minimum 3 years of experience with SQL.

- Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred.

- If the above has triggered your interest, we are looking forward to receiving your application!

Technical Skills :

- Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, Tensor Flow).

- Strong Knowledge in Statistics and Probability.

- Set up cloud alerts, monitors, dashboards, and logging systems, troubleshoot data platform infrastructure as needed.

- Experience in OpenShift/Kubernetes, Azure ML is desirable.

- Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL.

- Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and regression.

- Knowledge of DevOps/MLOps.

- Exceptional analytical and problem-solving skills.

Position Responsibilities :

- Delivery of Key Projects : Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints.

- Collaboration : Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities.

- Solution Development : Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics.

- End-to-End Pipeline Management : Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance.

- Dashboard Design : Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting.

- Technological Expertise : Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently.

- ETL Pipeline Building : Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management.

- Data Procurement and Management : Independently procure and process data, ensuring seamless integration within the company's overall data management strategy.

- Technology Exploration : Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company.