Data Scientist – Decision Support, Analytics and Automation

JOB SUMMARY

Jack Links 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 this hands-on role you will design build and productionize machine learning optimization and agentic AI solutionsdelivering 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. 

KEY RESPONSIBILITIES

• 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 effectivenessespecially in trade optimization. 
• Evolve optimization analytics to improve resource allocation decisioning (e.g. trade spend pricing PPA promo mix) 
• 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 DevOps 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.

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.

Qualifications :

• Bachelors degree in Data Science Computer Science Statistics or related field.
• 5 years of full-time professional experience in data science analytics or similar.  
• Demonstrates a deep interest and strong understanding of consumer behavior and decision-making including behavioral economics principles purchasing dynamics and responses to marketing stimuli to inform data-driven solutions and business applications 
• Possesses strong training in statistics and data science enabling discernment in identifying evaluating and selecting the most appropriate methodological approaches for complex analytical and forecasting challenges. 
• Hands on experience working with enterprise consumer and market performance data.  
• Proficiency in Python for data science and automation. 
• Strong understanding of forecasting models scenario planning and optimization techniques.  
• Hands on experience with 2 or more scenario planning techniques: Monte Carlo Simulation Digital Twin Modeling Sensitivity Analysis What-Ifs and Optimization Algorithms. 
• Familiarity with CI/CD pipelines model monitoring and governance frameworks. 
• Excellent communication skills to translate analytics into actionable insights.  

Preferred Qualifications 

• Masters degree in Data Science Analytics or quantitative related field. 
• Experience working in CPG Retail and E-Comm Media and Entertainment Tech platform (Meta TikTok etc.) or at a specialized commercial analytics/measurement firm. 
• Hands-on experience with Azure Machine Learning Azure DevOps and Microsoft Fabric. 
• Experience deploying AI agents or intelligent automation solutions in enterprise environments. 
• Experience with data engineering principles including ETL data quality and integration. 
• Familiarity with Microsoft Power BI or other visualization tools for reporting and insights. 

Additional Information :

The salary range for this role is $130000 - $150000 (Annually).  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 Links Total Rewards package for Team Members. Other rewards may include annual incentive and program-specific awards. Jack Links 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 Links 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 Links is participant in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees.  For information about the E-Verify program please visit:  your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time