Data Scientist

Location: Vasanthanagar

Roles & 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.

Technical

Skills:

Proficiency in  Python  and common libraries ( Dash, Pandas, Scikit-Learn, Pydantic, Tensor Flow ).
Strong knowledge of  statistics  and  Probability .
Set up cloud alerts, monitors, dashboards, and logging systems; troubleshoot data platform infrastructure as needed.
Experience in  Open Shift/Kubernetes  and  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  Dev Ops/MLOps .
Exceptional analytical and problem-solving skills.

Preferred candidate profile

Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience.
Total of  4 to 8 years  of professional experience.
Minimum of  4 years  of experience in  data science/machine learning .
Minimum  3 years  of experience with  SQL .
Experience in Dev Ops, preferably with hands-on experience in one or more cloud service providers, with Azure preferred.