Data Scientist u2013 Decision Support, Analytics and ...

Running with Sasquatch is more than just a clever marketing campaign. As a Jack Linku2019s team member, Running with Sasquatch means we roll up our buffalo plaid sleeves and do theu00a0hard worku00a0first. Weu00a0donu2019tu00a0shy away from challenges. In fact, we push hard and take risks. True to our North Woods roots,u00a0we'reu00a0a bunch of ordinary people whou00a0accomplishu00a0extraordinary things by driving results with innovation,u00a0creativityu00a0and a clear sense of urgency. Like our awesome protein products, we have an unwavering passion for quality, and youu00a0wonu2019tu00a0find anything artificial here. What you see is what you getu2026authentic,u00a0humbleu00a0and fun people who Run with Sasquatchu00a0 Running with Sasquatch takes a team. We invite you to run with us, succeed with us, and celebrate with us. Most importantly, Feed Your Wild Sideu00ae with us on our journey to be the dominant global leader of branded protein snacksu00a0 Jack Link's Protein Snacks is a global leader in snacking and the No. 1 meat snack manufacturer worldwide. Still family-owned and operated with headquarters in Minong,u00a0Wisconsin,u00a0Jack Linku2019s also has a large corporate hub in Downtown Minneapolis, Minnesota, and operates a total of 11 manufacturing and distribution facilities in four countries. Jacku00a0Linku2019su00a0produces high-quality, great-tasting protein snacks that feed the wildu00a0sidesu00a0of consumers around the world. Jack Link's Protein Snacks family of brands includes Jack Link's, LK, World Kitchens Jerky,u00a0Bifiu00a0andu00a0Peperami.u00a0 Jack Linku2019s is building an end-to-end decision support capability that integratesu00a0forecasting,u00a0measurement, optimization, and scenario planningu00a0to power commercial decisionsu00a0acrossu00a0sales, marketing, finance,u00a0and planning. In this hands-on role, you willu00a0design, build, andu00a0productionizeu00a0machine learning, optimization, and agentic AI solutionsu2014deliveringu00a0accurateu00a0forecasts, trusted measurement, and practical u201cwhat-ifu201d scenarios that driveu00a0growth, margin, and efficiency. You will alsou00a0lead the development and orchestration of AI agents and Retrieval-Augmented Generation (RAG) workflowsu00a0to automate and augment commercial work. This is au00a0hands-on ML engineering roleu00a0with strongu00a0business partnership and technical leadership responsibilities, supported by a collaborative team ofu00a0product owners, developers, data engineers, and architects.u00a0 KEY RESPONSIBILITIES + Develop, scale, andu00a0optimizeu00a0forecasting and scenario planning capabilitiesu00a0to support strategic and operational decisions.u00a0 + Evolve measurement programsu00a0focused on commercial investment evaluation, forecasting accuracy, and planning effectivenessu2014especially in trade optimization.u00a0 + Evolve optimization analyticsu00a0tou00a0improve resource allocation decisioningu00a0(e.g., trade spend, pricing, PPA, promo mix)u00a0 + Design, develop, and deploy AI agentsu00a0within the commercial data and analytics ecosystem to drive automation, productivity, and measurable business impact.u00a0 + Implementu00a0MLOpsu00a0and AIOps best practicesu00a0using Azure Machine Learning, Azure DevOps, and Microsoft Fabric for model lifecycle management, CI/CD, and automated monitoring.u00a0 + Collaborate with cross-functional teamsu00a0to integrate advanced analytics into business workflows and ensure scalability and governance.u00a0 + Continuouslyu00a0monitoru00a0andu00a0optimizeu00a0modelsu00a0for accuracy, fairness, and compliance with enterprise standards.u00a0 + Perform other duties as assigned. WORK ENVIRONMENT 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. PHYSICAL DEMANDS 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 accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the Team Member is regularly required to sit, use hands and fingers, handle, or feel and talk or hear. The Team Member is occasionally required to stand, walk, and reach with hands and arms. The Team Member must occasionally lift and/or more up to 25 pounds. Specific vision abilities required by this job include close vision. Required Qualifications: + Bacheloru2019s degree in Data Science, Computer Science, Statistics, or related field. + 5 + years ofu00a0full-time, professionalu00a0experience in data science, analytics, oru00a0similar.u00a0u00a0 + Demonstrates a deep interest and strong understanding of consumer behavior and decision-making, including behavioral economics principles,u00a0purchasingu00a0dynamics, and responses to marketing stimuli, to inform data-driven solutions and business applicationsu00a0 + Possessesu00a0strong trainingu00a0in statistics and data science, enabling discernment inu00a0identifying, evaluating, and selecting the mostu00a0appropriate methodologicalu00a0approaches for complex analytical and forecasting challenges.u00a0 + Hands on experience working with enterprise, consumer, and market performance data.u00a0u00a0 + Proficiencyu00a0inu00a0Pythonu00a0for data science and automation.u00a0 + Strong understanding ofu00a0forecasting models, scenario planning, and optimization techniques.u00a0u00a0 + Hands on experience withu00a02u00a0or more scenario planning techniques: Monte Carlo Simulation, Digital Twin Modeling, Sensitivity Analysis, What-Ifs,u00a0andu00a0Optimization Algorithms.u00a0 + Familiarity withu00a0CI/CD pipelines, model monitoring, and governance frameworks.u00a0 + Excellent communication skills to translate analytics into actionable insights.u00a0u00a0 Preferred Qualifications: + Masteru2019s degree inu00a0Data Science, Analytics, oru00a0quantitativeu00a0related field.u00a0 + Experience working inu00a0CPG,u00a0Retailu00a0andu00a0E-Comm, Media and Entertainment,u00a0Tech platform (Meta, TikTok etc.)u00a0or at au00a0specialized commercial analytics/measurementu00a0firm.u00a0 + Hands-on experience withu00a0Azure Machine Learning,u00a0Azure DevOps, andu00a0Microsoft Fabric.u00a0 + Experience deployingu00a0AI agentsu00a0or intelligent automation solutions in enterprise environments.u00a0 + Experience withu00a0data engineering principles, including ETL, data quality, and integration.u00a0 + Familiarity withu00a0Microsoft Power BIu00a0or other visualization tools for reporting and insights.u00a0 The salary range for this role is $130,000 - $150,000u00a0(Annually).u00a0 Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, and candidate skill set and experience. Base pay is just one component of Jack Linku2019s Total Rewards package for Team Members. Other rewards may include annual incentive and program-specific awards. Jack Linku2019s provides a variety of benefits to eligible Team Members, including medical, dental and vision benefits, life and disability insurance, 401k participation, paid holidays, and paid time off. EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER: Jack Linku2019s provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic that is protected by federal, state or local law. E-VERIFY: Jack Linku2019s is participant in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees.u00a0 For information about the E-Verify program, please visit:u00a0 All your information will be kept confidential according to EEO guidelines.

Created: 2026-02-02