Senior Data Scientist

The Mosaic Company (NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America.

At Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!

Where will you work: Onsite at Lithia, FL (Hybrid Schedule)

Are you our next Sr. Data Scientist?  

The Data Scientist Sr. (DS) will be responsible for identifying causal inference from structured and unstructured data of our operations. The Sr. DS will utilize various supervised and unsupervised learning techniques to draw insight and gain predictive power to mission critical KPI’s that drive business objectives. The DS Sr. will work with IT to provision the necessary infrastructure to conduct our Data Science experiments. They will also help oversee the workflow process within our Machine Learning (ML) infrastructure and modify necessary guidelines for other end users. Lastly, they serve as a mentor to junior Data Scientist and advise key business stakeholders on appropriate solution paths to capture the greatest opportunity. The Sr. DS will report through the Operations Excellence team in our North America business and have data science responsibilities activities of our mining operations.

What will you do?

• Develop, quality test, and deploy algorithms using a variety of statistical/machine learning techniques that will help classify, predict, or detect anomalies in a variety of mission critical Key Performance Indicators of our operations. Develop, quality test, and deploy algorithms using a variety of statistical/machine learning techniques that will help classify, predict, or detect anomalies in a variety of mission critical Key Performance Indicators of our operations. Work with our Dev Ops Engineer to provision and/or modify the existing infrastructure necessary to conduct ML projects. Advise other Data Scientists and stakeholders of appropriate solution paths. Conduct data acquisition, exploration, preparation, and preprocessing. Collaborate with stakeholders to scope the business opportunity and provide insight into competing model capabilities that balance incremental complexity vs reward. Work with ML Ops Engineers to develop and improve data pipeline infrastructure.

• Collaborate with colleagues to implement best practices on code hygiene and management of change. Advocate for data-driven decision through sharing success stories and potential opportunities with key business partners.

• Comply with Environmental Health/Safety, operations and other business requirements
• Engage in self-development to enrich your skillset to fulfill your career aspirations.

What you’ll need:

• Bachelor’s Degree in Engineering, Data Science, Statistics, Mathematics or Computer Science
• 5+ years of applied data science experience
• Demonstrated understanding of statistics and data science concepts
• Ability to develop in Python and corresponding packages such as Pandas and Scikit Learn and API protocols
• Ability to develop in SQL syntax
• Model lifecycle Management

PREFERRED

• Experience in Time-series data
• Manufacturing industry experience
• Agile/SCRUM experience
• Previous experience providing 24/7/365 support within an operational environment 
• Experience with multiple DCS/PLC platforms including Rockwell PLC RSLogix, Novatech D/3 
• Azure DevOPs and AzureML are a plus
• AVEVA/OSISoft PI data historian is a plus