Decision Scientist na AgReliant Genetics

WHO WE ARE
AgReliant Genetics is a leader in seed research, production, and quality, focused on providing trusted seed solutions that help farmers grow. Founded in 2000 by global seed companies KWS and Limagrain, AgReliant Genetics benefits from direct access to a global corn germplasm pool and has a top four corn research program. Through our seed brands – AgriGold® and LG Seeds in the U.S. and PRIDE® Seeds in Canada, we proudly offer the latest innovation to our farmer customers, whether they grow corn, soybeans, sorghum or alfalfa.

WHY JOIN AGRELIANT
At AgReliant, we believe in fostering a dynamic and rewarding work environment. Here’s why you’ll want to be part of our team:

• Impactful Work: At AgReliant, we believe “We All Sell” and every employee participates in our success. We value employee ownership, encourage input, and empower individuals to make a difference.
• Collaboration: Thrive in a collaborative environment where teamwork drives progress and shared goals. We are committed to fostering a workplace where individuals from all backgrounds feel respected, heard, and valued for their unique perspectives.
• Innovation: Be part of a team that values creativity, problem-solving, and forward-thinking.
• Career Growth: We provide opportunities for personal and professional development, paving the way for advancement within our company.
• Competitive Benefits: Enjoy a comprehensive package, including:
• Competitive Medical, dental, and vision coverage
• 401(k) with company match
• Generous vacation time & paid holidays
• Volunteer Time Off
• Paid parental leave
• Tuition reimbursement and more!

AgReliant Genetics is an equal opportunity employer. We welcome and encourage candidates from all backgrounds to apply.

Learn more about us at agReliantGenetics.com or follow us on Facebook and Twitter @AgReliant.

POSITION SUMMARY:

The Decision Scientist leverages advanced analytics, statistical modeling, and machine learning to drive data-informed decision-making across the organization. This role is responsible for uncovering actionable insights, building predictive models, and developing decision-support tools that connect quantitative analysis with business strategy. Partnering closely with cross-functional teams, this role will translate complex findings into clear, practical recommendations for stakeholders. In addition, this role ensures data accuracy and integrity, providing a strong foundation for high-quality, evidence-based decisions.

ESSENTIAL FUNCTIONS:

• Analyze large, complex datasets to uncover trends, patterns, and insights that can inform business decisions.
• Develop predictive models, statistical analyses, and optimization algorithms to enhance decision-making. Continuously monitor and improve model performance.
• Partner with stakeholders to identify critical business challenges and opportunities where data-driven solutions can provide value. Develop strategies and frameworks to address these challenges effectively.
• Use mathematical modeling, machine learning, and optimization techniques to refine business processes and improve efficiency in many areas of the business.
• Create dashboards, reports, and presentations to communicate insights effectively to technical and non-technical stakeholders. Ensure findings are actionable and align with business objectives.
• Work closely with subject-matter experts and business leaders to align decision science methodologies with company goals. Present findings and recommendations to executives and key stakeholders.
• Stay updated with industry trends, advancements in decision science methodologies, and emerging technologies. Incorporate best practices and innovative techniques into ongoing projects.
• Collaborate with data engineers to refine data pipelines, improve data collection processes, and ensure data integrity and accuracy.
• Identify inefficiencies in existing decision-making processes and develop data-driven solutions to enhance productivity and outcomes.
• Other duties as assigned

Please note that relocation assistance is not provided for this position. Additionally, visa sponsorship is not available.

EDUCATION/EXPERIENCE:

• Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Three (3) to five (5) years’ experience performing data analysis in a business setting.
• Strong experience with statistical modeling, machine learning, and data analysis.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience working with large datasets and data visualization tools (e.g., Tableau, Power BI).

KNOWLEDGE/SKILLS/ABILITIES:

• Strong problem-solving skills with the ability to translate complex data into clear, actionable insights.
• Excellent communication and presentation skills for both technical and non-technical audiences.
• Ability to create compelling data visualizations and reports that support business decision-making.
• Skilled in identifying and implementing process improvements using data-driven approaches.
• Ability to collaborate effectively with cross-functional teams and influence stakeholders.
• Strong business acumen with the ability to align analytical solutions to strategic goals.
• Commitment to maintaining data integrity and supporting high-quality decision-making.
• Capacity for continuous learning and applying emerging decision science methodologies.
• Ability to manage multiple projects and prioritize tasks in a dynamic environment.
• Comfortable working in ambiguous situations and driving clarity through data.
• Demonstrates initiative, accountability, and a results-oriented mindset.
• Proficient in the use of Microsoft Office Suite (Word, Excel, PowerPoint)

PHYSICAL DEMANDS:

• Ability to lift up to 25 lbs
• Ability to travel up to 5 %
• Must have valid driver’s license and meet MVR requirements