Associate, Data Scientist

About the role

Conduct data analysis using Python and related libraries to support business and operations objectives. Work with time-series data from Canary Historian and other industrial data sources — extraction, cleaning, and preprocessing. Build, deploy, and maintain analytics solutions and pipelines on Microsoft Azure (e.g., Azure Storage, Azure Data Factory, Azure Functions, Azure ML/App Services).

What you'll do

• Conduct data analysis using Python and related libraries to support business and operations objectives
• Work with time-series data from Canary Historian and other industrial data sources — extraction, cleaning, and preprocessing
• Build, deploy, and maintain analytics solutions and pipelines on Microsoft Azure (e.g., Azure Storage, Azure Data Factory, Azure Functions, Azure ML/App Services)
• Perform advanced data manipulation and transformation using Pandas and NumPy, including handling large, high-frequency time-series datasets
• Build interactive dashboards and visualizations using the Dash framework, Django, or Streamlit (and/or Plotly, Matplotlib, Seaborn)

What you need

• 1–3 yrs of experience
• Python
• Machine learning
• Pandas
• SQL
• Scikit-learn
• LLMs
• B.Tech or B.E. or B.Sc or BCA

Good to have

• ETL
• NumPy
• Azure
• Django
• SCADA
• Azure Data Factory