Data Science
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Primary Skills
Statistical Analysis & Causal Inference
Expertise in advanced statistical methods experimentation and causal modeling.
Ability to evaluate program performance and derive meaningful insights.
Databricks
Strong experience working with Databricks notebooks workflows and ML pipelines.
Familiarity with Delta Lake Spark and collaborative development in Databricks.
Python (Hands-on)
Proficiency in Python for data manipulation modeling and automation.
Experience with analytical and ML libraries (e.g. pandas NumPy scikit-learn statsmodels).
Data Engineering & Modeling Workflow Optimization
Building optimizing and managing analytical datasets.
Ensuring scalable reproducible and production-ready data science workflows.
Communication & Stakeholder Engagement
Ability to understand business requirements and translate them into analytical solutions.
Comfortable interacting with customer stakeholders and presenting findings.
Secondary Skills
Spark / PySpark
Experience working with distributed data processing frameworks.
ETL & Data Pipeline Development
Exposure to data integration cleaning and transformation.
MLflow / Model Tracking Tools
Familiarity with experiment tracking and reproducibility frameworks.
Visualization & Reporting
Ability to create clear dashboards and reports using tools like Power BI Tableau or Python visualization libraries.
Cloud Platforms
Experience with Azure AWS or GCP (preferably Azure if aligned with Databricks use).
Statistical Analysis & Causal Inference
Expertise in advanced statistical methods experimentation and causal modeling.
Ability to evaluate program performance and derive meaningful insights.
Databricks
Strong experience working with Databricks notebooks workflows and ML pipelines.
Familiarity with Delta Lake Spark and collaborative development in Databricks.
Python (Hands-on)
Proficiency in Python for data manipulation modeling and automation.
Experience with analytical and ML libraries (e.g. pandas NumPy scikit-learn statsmodels).
Data Engineering & Modeling Workflow Optimization
Building optimizing and managing analytical datasets.
Ensuring scalable reproducible and production-ready data science workflows.
Communication & Stakeholder Engagement
Ability to understand business requirements and translate them into analytical solutions.
Comfortable interacting with customer stakeholders and presenting findings.
Secondary Skills
Spark / PySpark
Experience working with distributed data processing frameworks.
ETL & Data Pipeline Development
Exposure to data integration cleaning and transformation.
MLflow / Model Tracking Tools
Familiarity with experiment tracking and reproducibility frameworks.
Visualization & Reporting
Ability to create clear dashboards and reports using tools like Power BI Tableau or Python visualization libraries.
Cloud Platforms
Experience with Azure AWS or GCP (preferably Azure if aligned with Databricks use).
Key Skills
- Healthcare Attorney
- General Insurance
- Attorney At Law
- Core Banking
- Import & Export
- Airlines
