Cargill Looking for Sr. Advanced Analytics Scientist (Remote) at Manitoba Full Time

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill’s global team of 160,000 employees who use new technologies, dynamic insights and over 157 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.

Job Purpose and Impact

The Sr. Advanced Analytics Scientist will develop an in depth understanding of the agricultural supply chain business to innovate significant data driven insights. In this role you will use hands on experience in statistics and machine learning to help business leaders make better decisions and will develop and combine subject matter expertise in customer data. Also, you will act as a partner with internal stakeholders and technical staff to execute a business technology strategy that delivers reporting and analytics solutions.

Key Accountabilities

• Identify and analyze business needs, gather requirements and define the scope and objectives to drive business decisions.

• Facilitate data science and statistics led modeling, and full stack MLOps for insight generation.

• Prepare data and explore new potential data to support reporting and analysis initiatives.

• Lead analysis in collaboration with process and operations leadership to identify the top opportunities for improvement and track progress and impact on future results.

• Mentor and coach peers and recommend process improvements related to delivery and new methodologies.

• Partner with the team to develop a detailed understanding of the business and offer mentorship or technical solutions to identify business problems.

• You will work under minimal supervision and independently handle complex issues while referring only the most complex issues to higher-level staff.

• Other duties as assigned

Qualifications

Minimum Qualifications

• Diploma/Certificate or Bachelor’s degree in a related field or equivalent experience

• Minimum of four years of related work experience

• Must be legally entitled to work for Cargill in Canada

Preferred Qualifications

• Bachelor’s degree in CS, Statistics, Computational Biology, Physics, Agriculture or any other related sciences

• 10 years of relevant industry experience

• Proficiency in handling time series data and conducting statistical hypothesis testing

• Prior experience working across cross functional teams

Cargill is an equal opportunity employer and committed to providing accommodation to our job applicants with disabilities.

Equal Opportunity Employer, including Disability/Vet.

At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill’s long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law.

Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.

Notice to Recruiters and Staffing Agencies: Cargill, Inc. and subsidiaries (“Cargill”) have an internal recruiting department. Please review this notice.

US Employment Resources: Equal Opportunity Employer, including Disability/Vet.