Sr Data Scientist with proficiency in Python and SQL for data manipulation statistical analysis and automation.
- Experience working with Apache Spark and Databricks workspaces for advanced analytics.
- Familiarity with data visualization tools such as Tableau Spotfire or Power BI with an understanding of UX design principles for effective data storytelling.
- Understanding of Machine Learning algorithms model development and evaluation techniques.
- Experience with multivariate statistical analysis and tools such as SIMCA for data exploration and predictive modeling.
- Demonstrated ability to translate complex analytical findings into actionable business insights.
- Excellent communication and collaboration skills to work cross-functionally with business engineering and product teams.
- Ability to integrate diverse data sources (e.g. PAT LIMS MES OSIsoft PI) for end-to-end process analytics and digital transformation initiatives.
Requirements
- Doctorate or Masters 2 years or Bachelors 4 years or Associates 8 years of data science business statistics data mining applied mathematics business analytics engineering computer science or related field experience
- Bilingual (Spanish/English)(Write/Speak)
Sr Data Scientist with proficiency in Python and SQL for data manipulation statistical analysis and automation.Experience working with Apache Spark and Databricks workspaces for advanced analytics.Familiarity with data visualization tools such as Tableau Spotfire or Power BI with an understanding of...
Sr Data Scientist with proficiency in Python and SQL for data manipulation statistical analysis and automation.
- Experience working with Apache Spark and Databricks workspaces for advanced analytics.
- Familiarity with data visualization tools such as Tableau Spotfire or Power BI with an understanding of UX design principles for effective data storytelling.
- Understanding of Machine Learning algorithms model development and evaluation techniques.
- Experience with multivariate statistical analysis and tools such as SIMCA for data exploration and predictive modeling.
- Demonstrated ability to translate complex analytical findings into actionable business insights.
- Excellent communication and collaboration skills to work cross-functionally with business engineering and product teams.
- Ability to integrate diverse data sources (e.g. PAT LIMS MES OSIsoft PI) for end-to-end process analytics and digital transformation initiatives.
Requirements
- Doctorate or Masters 2 years or Bachelors 4 years or Associates 8 years of data science business statistics data mining applied mathematics business analytics engineering computer science or related field experience
- Bilingual (Spanish/English)(Write/Speak)
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