Supply Chain Data Scientist

TreeHouse Foods; United States; Remote; USD 100,000 - 152,000; Full time

Job summary

TreeHouse Foods is seeking a talented Supply Chain Data Scientist to enhance their forecasting capabilities. Ideal candidates will have extensive experience in data analysis and machine learning, with proficiency in SQL and tools like Blue Yonder. This remote position offers competitive compensation and an opportunity to drive impactful change in the supply chain process.

Benefits

401(k) program with 5% employer match

Comprehensive paid time off opportunities

Paid training and tuition reimbursement

Wellness and employee assistance programs

Qualifications

• 5+ years of experience in data science or machine learning roles.
• Expertise in SQL and relational databases.
• Strong desire to explore data-driven methodologies.

Responsibilities

• Analyze large, complex datasets to extract actionable insights.
• Develop statistical demand planning and inventory optimization models.
• Present complex data insights to stakeholders.

Skills

SQL

Data Analysis

Statistical Knowledge

Machine Learning

Data Mining

Education

Bachelor’s or advanced degree in Statistics, Data Analytics, Applied Mathematics

Tools

Blue Yonder

Tableau

PowerBI

PyTorch

TensorFlow

NumPy

Job description

TreeHouse Foods (NYSE : THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future.

Named one of America’s Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight – One Customer at a Time." Guided by our values— Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals.

What You G ain :

Competitive compensation and benefits program with no waiting period – you’re eligible from your first day!

401(k) program with 5% employer match and 100% vesting as soon as you enroll.

Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays).

Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform – DevelopU – with more than 10,000 free courses to support you along the way.

An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups.

Access to our wellness and employee assistance programs.

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.
• 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.