Senior Data Scientist
Tasks
- Apply statistical models machine learning algorithms and large language models
- Collaborate with product marketing sales and finance on analytics requirements
- Communicate insights and strategies across stakeholder personas
- Define key performance indicators for development quality assurance release and support
- Develop analytics tools dashboards and reports
- Develop data visualizations and BI solutions
- Identify and measure product success using goal setting forecasting and monitoring
- Support product and customer analytics initiatives
- Transform and analyze large scale datasets
- Translate business requirements into documented datasets and reporting dashboards
Perks/Benefits
Skills/Tech-stack
ADLS Gen2 | Analytics Cloud | Apache Airflow | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Business Warehouse | Cloud for Semantics | Data Lake Storage Gen2 | Databricks | Databricks SQL | Deep learning | ELT | ETL | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Microsoft Excel | Microsoft PowerPoint | MySQL | Natural Language | Natural Language Processing | Power BI | PySpark | Python | REST | SAP Analytics | SAP Analytics Cloud | SAP Business | SAP Business Warehouse | SQL | Windows
Education
Roles
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