Duties & Responsibilities:
- Formulate and lead multifaceted analytic studies against large volumes of data.
- Interpret and analyze data using exploratory mathematics and statistical techniques based on the scientific method.
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean massage and organize the data.
- Experiment against data points provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
- Lead all data experiments tasked by the Data Science Team.
- Coordinate with Data Engineers to build data environments providing data identified by Data Analysts Data Integrators Knowledge Managers and Intel Analysts.
- Develop methodology and processes for prioritization and scheduling of projects.
- Analyze problems and determine root causes.
- Define company data assets (data models) spark sparkSQL and hiveSQL jobs to populate data models.
- Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Requirements
- As the successful candidate you will hold a Bachelors degree in Operations Research IndustrialEngineering Applied Mathematics Statistics Physics Computer Science or related fields. An advanced degree is preferred.
- You will have 57 years of professional experience in related field
- You will have Proficiency with one or more programming languages (Java C Python R etc.
- You will be able to demonstrate experience applying data science methods to realworld data problems
- You will also have experience in utilizing visualization tools to take advantage of the growing volume of available information
Duties & Responsibilities: Formulate and lead multifaceted analytic studies against large volumes of data.Interpret and analyze data using exploratory mathematics and statistical techniques based on the scientific method.Coordinate research and analytic activities utilizing various data points (unst...
Duties & Responsibilities:
- Formulate and lead multifaceted analytic studies against large volumes of data.
- Interpret and analyze data using exploratory mathematics and statistical techniques based on the scientific method.
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean massage and organize the data.
- Experiment against data points provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
- Lead all data experiments tasked by the Data Science Team.
- Coordinate with Data Engineers to build data environments providing data identified by Data Analysts Data Integrators Knowledge Managers and Intel Analysts.
- Develop methodology and processes for prioritization and scheduling of projects.
- Analyze problems and determine root causes.
- Define company data assets (data models) spark sparkSQL and hiveSQL jobs to populate data models.
- Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Requirements
- As the successful candidate you will hold a Bachelors degree in Operations Research IndustrialEngineering Applied Mathematics Statistics Physics Computer Science or related fields. An advanced degree is preferred.
- You will have 57 years of professional experience in related field
- You will have Proficiency with one or more programming languages (Java C Python R etc.
- You will be able to demonstrate experience applying data science methods to realworld data problems
- You will also have experience in utilizing visualization tools to take advantage of the growing volume of available information
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