Supply Chain Data Scientist

Employee Type:

Full time

Location:

IL Works from Home

Job Type:

Information Technology Data Management

Job Posting Title:

Supply Chain Data Scientist

Job Description:

About the Role:

Treehouse Foods’ Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. 

We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods’ mission of delivering quality food products with efficiency and precision. 

You’ll add value to this role by performing various functions including, but not limited to:

• Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges.
• Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units.
• Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders.
• Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance.
• Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards.
• Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value.
• Other duties as assigned.

Important Details:

• This is a remote role on first shift.   
• The anticipated compensation for this position ranges from $ 100,800 to $151,200 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay.

You’ll fit right in if you have:

• Bachelor’s or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. 
• 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. 
• Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. 
• Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). 
• Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. 
• A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement.