Improvix Technologies

Data Scientist

• Design, develop, and operationalize advanced analytics solutions
• Build scalable data pipelines and analytics workflows using Databricks, PySpark, Delta Lake, and notebooks
• Develop interactive dashboards and reports in Power BI
• Build and maintain Power BI data models and DAX measures
• Improve query performance, processing time, and overall data efficiency
• Partner with business stakeholders to translate analytical needs into technical solutions
• Perform exploratory data analysis, feature engineering, and machine learning model development
• Optimize data models for reliability, governance, and reusability
• Collaborate with engineering teams to deploy analytics products into production
• Document processes, data definitions, and system logic
• Support migration from Splunk to Databricks
• Build and maintain API integrations with external platforms, including OAuth 2.0 authentication and token management
• Deliver dashboards and analytics with measurable business impact
• Improve data accessibility and reliability through structured models and pipelines
• Advise stakeholders seeking data-driven insights
• Maintain reporting confidence through validation, documentation, and data quality practices

• Design, develop, and operationalize advanced analytics solutions
• Build scalable data pipelines and analytics workflows using Databricks, PySpark, Delta Lake, and notebooks
• Develop interactive dashboards and reports in Power BI
• Build and maintain Power BI data models and DAX measures
• Analyze large and complex datasets and improve query performance, processing time, and efficiency
• Partner with business stakeholders to translate analytical needs into technical solutions
• Perform exploratory data analysis, feature engineering, and machine learning model development
• Optimize data models for reliability, governance, and reusability
• Collaborate with engineering teams to deploy analytics products into production
• Document processes, data definitions, and system logic
• Support the migration from Splunk to Databricks
• Build and maintain API integrations with external platforms, including OAuth 2.0 authentication and token management
• Deliver dashboards and analytics with measurable business impact
• Improve data accessibility and reliability through structured models and pipelines
• Advise stakeholders seeking data-driven insights
• Maintain reporting confidence through validation, documentation, and data quality practices