Data Engineer

Requirement:

• Adept ability to manipulate - potentially unstructured - data tables and write software to facilitate this process.
• Excellent data visualization and data storytelling skills.
• Dexterity to communicate up, down and across multi-disciplinary teams with diverse technical backgrounds.
• Demonstrated ability to independently research and apply new knowledge to achieve success in analysis and coding.
• Strong programming skills in one of the following: JMP, R, Python. Knowledge of SQL is a plus.

 Responsibilities:

• Ensure your coworkers’ safety by adhering to all health and environmental procedures.
• Provide expert guidance in the research cycle of designing experiments modeling and interpreting the results, determining the key factors of influence, optimizing outputs, and using statistical conclusions to guide future experiments.
• Be a go-to in-house consultant for a broad range statistical and data quality-related knowledge and advice.
• Dig through large, complex data tables to discover new relationships and insights via data science techniques.

Key Skills:

• Mathematical ability.
• Scientific acumen.
• Logical thinking.
• Creative problem-solving.
• Technical skills.
• Analytical skills.
• Project management and teamwork.
• Communication skills.