Data Scientist Lead
Mosaic

JOB ESSENTIAL FUNCTIONS
% OF TIME (approximate) & KEY RESPONSIBILITIES & DUTIES

Data Management Leadership (30%): Lead New Product Development's data management program and overall strategy. Develop, maintain, and interact with Mosaic's Global Agronomy Database. Collaborate with fellow team members to create comprehensive analytical solutions from data intake through report-out. Review, define, and deploy new process improvement opportunities within and between R&D departments. Identify collaborative data analytical partnerships within or outside of Mosaic that may accelerate our analytical processes.

Statistical Analysis (60%): Oversee North American lab, greenhouse, and field data analytics. Management of data intake, standardization, analysis, and archival. Lead statistical experimental design and power analysis activities. Utilize algorithms, spatial analysis, or other advanced data analytical techniques to identify trends or patterns. Specific emphasis will be placed on using various visualization or report-out techniques that lead to making critical business decisions. Use of effective written, oral, and presentation skills to share key findings to commercial, strategy and growth, and senior leadership is required.

Subject Matter Expert (10%): Utilize expertise in statistics and databases to support NPD, APT, PRI, and other teams at Mosaic. Conduct knowledge sharing sessions with peers to ensure effective data use. Continuing learning/education is encouraged to integrate novel analytical techniques and programs to further improve data strategy.

EDUCATION

• Master's degree in Engineering, Data Science, Statistics

• Doctorate's degree preferred

EXPERIENCE REQUIRED

• Minimum of 5 years of applied data analytics and/or data management experience is required.
  
• Prefer experience in agriculture or applied agronomy.
  

KNOWLEDGE, SKILLS, ABILITIES

REQUIRED

• Deep understanding of data strategy, data analysis, and
  
• Understand the basic principles of relationship databases and how they interact.
  
• Applied experience using a variety of data analysis programs is required.
  
• Strong ability to manage relationships within or outside of the organization to complete any organizational data management initiative.
  
• Needs to be very creative, highly motivated and can apply previous experiences to novel solutions.
  
• Willing/able to travel to within Canada and the United States.
  
• Excellent quantitative analytical abilities.
  
• Ability to work independently while managing several projects.
  
• Excellent presentation and verbal communication skills through various multi-media outlets.
  
• Demonstrated critical thinking and decision-making skills.
  
• Ability to work collaboratively with people for various international backgrounds.
  
• Ability to adapt to continually changing business and work environment.
  
• Provide direction, guidance, challenge, and inspiration to department associates as well, help develop the research skills of colleagues.
  
• Strong interpersonal and relationship-building skills.
  
• Ability to effectively work with employees at all levels within the organization.
  
• Ability to quickly synthesize research data from various sources and deliver key insights and recommendations.
  

COMPUTER/TECHNICAL LITERACY

• Advanced user in Microsoft Office Suite
• ARM, Python, Azure, Salesforce, PowerBI

OTHER PREFERRED SKILLS

• Understanding of statistical analysis in agricultural or biological systems. Broad knowledge of crop nutrition and soil science
  
• Strong business acumen
  
• Familiarity with geospatial analysis
  

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