Data Scientist – Decision Support, Analytics and Automation

Data Scientist – Decision Support, Analytics and Automation

• Full-time
• Sub-Department: IT General
• Department: IT
• Compensation: USD 130,000 - USD 150,000 - yearly

When it comes to being wild, we know a thing or two. We’re not afraid of trying something new or the hard work it takes to make it happen. It’s in our DNA. We’ve turned a family recipe into a new snacking category. And the wilderness into the world’s largest meat snack business, that’s still proudly family owned and operated.

We’re a company built by innovators, and are driven to not only satisfy your hunger, but to also feed your journey – whether that journey is on the road, on the run, at the campground, at the playground, in the office or in the moment. It’s a journey we share with you. It’s the journey forward of our people, of our communities, of our category…with a reverence for quality and an irreverence for the status quo.

At Jack Link’s Protein Snacks, we see every moment of every day as an opportunity to move forward, to forge new ground. To realize our vision of becoming the World’s #1 Protein Snack Company. We never give up. You never give up. Together, we keep going. Are you wild enough to join us?

Jack Link’s Protein Snacks is a global leader in snacking and the No. 1 meat snack manufacturer worldwide. Family-owned and operated with headquarters in Minong, Wisconsin, Jack Link’s Protein Snacks also has a large corporate hub in Downtown Minneapolis, Minnesota. The company is made up of over 4,000 passionate team members, across 11 countries, who share an uncompromising commitment to delivering awesome products and feeding the journey of those who move things forward.

The Jack Link’s Protein Snacks portfolio of brands includes, Jack Link’s, Lorissa’s Kitchen, MATADOR Jerky, BiFi and Peperami.

Jack Link’s is building an end-to-end decision support capability that integrates
forecasting, measurement, optimization, and scenario planning
to power commercial decisions
across sales, marketing, finance, and planning. In this hands‑on role, you will
design, build, and product ionize machine learning, optimization, and agentic AI solutions
—delivering accurate forecasts, trusted measurement, and practical “what‑if” scenarios that drive
growth, margin, and efficiency
. You will also
lead the development and orchestration of AI agents and Retrieval‑Augmented Generation (RAG) workflows
to automate and augment commercial work. This is a
hands‑on ML engineering role
with strong
business partnership and technical leadership responsibilities
, supported by a collaborative team of
product owners, developers, data engineers, and architects
.

• Develop, scale, and optimize forecasting and scenario planning capabilities
  to support strategic and operational decisions.
• Evolve measurement programs
  focused on commercial investment evaluation, forecasting accuracy, and planning effectiveness—especially in trade optimization.
• Design, develop, and deploy AI agents
  within the commercial data and analytics ecosystem to drive automation, productivity, and measurable business impact.
• Implement MLOps and AIOps best practices
  using Azure Machine Learning, Azure Dev Ops, and Microsoft Fabric for model lifecycle management, CI/CD, and automated monitoring.
• Collaborate with cross‑functional teams
  to integrate advanced analytics into business workflows and ensure scalability and governance.
• Continuously monitor and optimize models
  for accuracy, fairness, and compliance with enterprise standards.
• Perform other duties as assigned.

The work environment characteristics described here are representative of those a Team Member encounters while performing the essential functions of this job. The work environment is a plant/office setting with varying degrees of temperatures and noise levels. Exposure to manufacturing equipment movement and wet/slippery floors. However, the vast amount of work is conducted in a climate‑controlled office. Travel may be required.

The physical demands described here are representative of those that must be met by a Team Member to be successfully perform the essential functions of this job. Reasonable…