Data Scientist - Innovation

Job Title: Data Scientist - Innovation

Supervisor: Director of Product Management

Department: Product Management

Salary Range: $118k - $137k base salary, based on qualifications and experience (Plus additional targeted bonus)

Location: Remote - Preferred States: Arizona, Arkansas, Colorado, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Maryland, Michigan, Minnesota, Missouri, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas, Utah, Vermont, Washington, West Virginia, and Wisconsin.

Job Summary:

TraceGains is seeking an experienced Data Scientist/Senior Data Scientist to lead the development and application of AI- and statistical-driven methodologies that drive rapid innovation in formulation and quality solutions for CPG companies. This role is critical in shaping TraceGains' next-generation AI platform for the CPG industry.

As a key team member, you will develop predictive and prescriptive models, collaborate with AI/ML engineers and knowledge engineering teams, and scale AI-powered decision-making systems. The ideal candidate has expertise in AI-driven formulation optimization, machine learning, risk prediction, and constraint optimization techniques or the ability to adapt methodologies to these areas. Experience in deploying AI models to cloud-based environments is essential.

We are revolutionizing information exchange across the supply chain using AI:

• Work at the forefront of AI-powered knowledge management and enterprise ontology engineering.
• Lead cutting-edge ontology and knowledge graph initiatives that impact regulatory compliance, food safety, and sustainability in the global food & beverage supply chain.
• Collaborate with world-class teams in AI, Data Science, and Product Management to create next-generation intelligent applications.
• Contribute to building leading AI solutions that drive innovation and quality applications for CPG companies.
• Competitive salary, benefits, and a dynamic environment that values innovation, leadership, and continuous learning.

Essential Duties/Responsibilities:

• AI-Driven Formulation Innovation: Develop and refine AI/ML models for ingredient formulation, optimizing for variables like cost, sustainability, quality, and regulatory requirements.
• Simulation & Optimization: Develop and refine large-scale simulation models to optimize ingredient formulations and supply chain decisions. Apply constraint optimization techniques to balance cost, sustainability, quality, and regulatory requirements.
• Multi-Dimensional Risk Analysis: Build predictive models for risk assessment, leveraging structured and unstructured data to provide actionable insights on ingredient safety, quality, and regulatory compliance.
• AI & Machine Learning Development: Apply advanced ML algorithms (supervised, unsupervised, and reinforcement learning) to enhance risk prediction, AI-driven formulation, and data-driven decision-making.
• Cross-Functional Collaboration: Work closely with AI/ML engineers, knowledge engineering teams, and product managers to align AI initiatives with business needs and ensure seamless model integration into production.
• Data Engineering & Feature Development: Collaborate with knowledge and data engineers to build scalable knowledge architectures and data pipelines for high-performance AI applications.
• Visualization & Stakeholder Communication: Develop data visualizations and reports to translate complex AI findings into actionable business insights for technical and non-technical stakeholders.
• Thought Leadership: Stay ahead of industry trends in formulation and simulation methodologies, AI-driven risk assessment, and constraint optimization, and drive innovation within TraceGains' AI strategy.
• Other duties as assigned.

Minimum Job Requirements:

• Education & Experience:
  
  
  
  • Master's or Ph.D. in Computer Science, Data Science, Applied Mathematics, Statistics, or a related field preferred.
    
    
    
    • And/or
    
    
    
    
  • 7+ years of experience in data science, AI/ML, or simulation modeling in an enterprise setting.
  
  
  
  
• Technical Expertise:
  
  
  
  • Strong proficiency in Python, SQL, and cloud-based ML tools
  • Expertise in machine learning, reinforcement learning, and constraint optimization algorithms.
  • Experience with graph-based models, network analysis, and AI-driven knowledge graphs.
  • Strong knowledge of A/B testing, causal inference, and experimental design methodologies.
  • Proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib.
  
  
  
  
• Leadership & Collaboration:
  
  
  
  • Proven ability to work cross-functionally with AI engineers, Knowledge engineers, data engineers, and product teams
  • Experience leading AI/ML projects from research to production deployment.
  • Excellent communication skills, with the ability to translate AI concepts into business value.
  • Ability to be a positive team player, willing to grow and change
  
  
  
  
• Preferred Qualifications:
  
  
  
  • Hands-on experience with generative AI for data augmentation and feature/metadata extraction, preferred but not required.
  • Experience integrating AI/ML models into SaaS platforms or enterprise decision-making tools, preferred but not required.
  • Knowledge of supply chain modeling, ingredient formulation AI, or food safety risk prediction, preferred but not required.
  • Familiarity with graph neural networks, embeddings, and knowledge representation in AI.
  • Experience in big data processing (Spark, Databricks, Snowflake).
  
  
  
  
• Occasional travel required for department meetings, all company events, in-person seminars/networking events, etc.
• Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit screening, where applicable and in accordance with federal and local regulations

** Accepting applications until 03/28/2025 **

Why you'll want to join us:

Founded in 2008, TraceGains connects people and information so teams can work smarter. As a global technology company, we provide networked innovation, quality, and compliance solutions to consumer brands that want to reduce supply chain risk, speed up business processes, and take control of data. On average, companies find 80% of their suppliers already on TraceGains Network, allowing them to connect and collaborate instantly.

Plus, we offer great benefits, including:

• Health, dental, vision, life insurance, AD&D, STD, and LTD coverage, supplemental (accident, hospital & indemnity, and hospital) coverage, paid parental leave, pet insurance, identity theft, and more!
• Fully remote work environment.
• Flexible paid time off available on your date of hire
• A 401(k) plan and company match for saving for your future

• Company Paid Volunteer Days
• Advancement opportunities and promoting from within

TraceGains provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Applicants must be over the age of 18 and have proof of authorization to work in the U.S. for consideration.

TraceGains participates in E-Verify and will provide the federal government with your I-9 information upon hire to confirm that you are authorized to work in the U.S.

Employees interested in applying:

Please reach out to your HR Department for details.

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