Data Scientist - Innovation

March 8

🌵 Arizona – Remote

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⛰️ Colorado – Remote

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+27 more states

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💵 $118k - $137k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

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Logo of TraceGains

TraceGains

TraceGains is a leading provider of networked solutions for the food and beverage industry, aiming to improve product development, quality, safety, and compliance in the supply chain. The company offers comprehensive tools for ingredient marketplace, formula management, supplier compliance, regulatory management, and ESG sustainability. By joining the Veralto family, TraceGains enhances its mission to safeguard the global food supply and promotes digitization and collaboration among suppliers, manufacturers, and vendors. Customers benefit from improved operational efficiency, risk management, and adherence to regulations in new product development and procurement processes.

supplier document management • supplier management • FSMA • GFSI • food safety modernization act

51 - 200 employees

Founded 2008

📋 Compliance

☁️ SaaS

💰 Debt Financing on 2018-11

📋 Description

• Lead the development and application of AI and statistical methodologies • Develop predictive and prescriptive models • Collaborate with AI/ML engineers and knowledge engineering teams • Scale AI-powered decision-making systems • Develop large-scale simulation models • Apply constraint optimization techniques • Build predictive models for risk assessment • Apply advanced ML algorithms • Work closely with cross-functional teams • Develop data visualizations and reports • Stay ahead of industry trends • Drive innovation within TraceGains' AI strategy

🎯 Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Applied Mathematics, Statistics, or a related field preferred • 7+ years of experience in data science, AI/ML, or simulation modeling in an enterprise setting • 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 • 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 • Ability to be a positive team player, willing to grow and change

🏖️ Benefits

• Health insurance • Dental insurance • Vision insurance • Life insurance • AD&D insurance • STD coverage • LTD coverage • Paid parental leave • Pet insurance • Identity theft protection • 401(k) plan with company match • Company Paid Volunteer Days • Flexible paid time off

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