Data Scientist

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At True Commerce, data drives everything we do. As a Data Scientist, you’ll turn complex information into actionable intelligence that helps businesses around the world flow smarter. Help shape the future of global supply chains with True Commerce!
True Commerce is seeking an inquisitive, highly skilled and innovative Data Scientist with 5+ years experience in data science and machine learning to join our organization. This role will be pivotal in driving data‑driven decision making, delivering predictive insights, and developing advanced models that enhance supply chain visibility, efficiency, and optimization for our customers!
That Data Scientist will have the opportunity to create enormous value for our customers and business as you work with business leaders and engineers to translate data insights into actionable strategies, with endless opportunities for projects, partnership, and impact. The ideal candidate will combine strong analytical expertise with business acumen and have a passion for leveraging data science to solve complex challenges.

This person is a self‑starter, great in grey space, passionate and curious, and known for driving automation, insights, and impact!
Applicants must be authorized to work for any employer in the U.S. At this time, we are unable to sponsor or take over sponsorship of an employment visa for this role.

• Analyze large datasets from products and applications to identify trends, patterns, and anomalies.
• Design, develop, and implement predictive and prescriptive models to optimize workflows.
• Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models.
• Partner with Product and Engineering to embed analytics and AI‑driven recommendations directly into products.
• Build advanced analytics tools and dashboards to improve data‑driven decision making for both internal stakeholders and external customers.
• Collaborate with customer‑facing teams to deliver insights that improve adoption and customer outcomes.
• Ensure quality, governance, and integrity of data across diverse, complex distributed systems and products.
• Research and apply new data science techniques relevant to supply chain digitization and automation

• Master’s degree is required (Data Science, Computer Science, Machine Learning, Statistics, or Mathematics or related field)
• 5+ years of experience in data science & machine learning, ideally within the tech industry
• Strong proficiency in Python, R, and SQL for data analysis and modeling.
• Familiarity with ERP systems (SAP, Net Suite, Oracle, Microsoft Dynamics, or similar) and their data structures.
• Hands‑on expertise with machine learning frameworks (e.g., Scikit‑learn, Tensor Flow, PyTorch).
• Knowledge of predictive modeling for demand planning, order fulfillment, and supplier performance.
• Ability to work with large‑scale, complex transactional datasets from multiple integrations.
• Experience deploying models into production on cloud platforms (AWS, Azure, or GCP).
• Familiarity with API‑based data exchange and SaaS integration patterns.

True Commerce is a high‑performing global supply chain network that provides fully integrated, end‑to‑end supply chain visibility and management. We’ve empowered some of the biggest brands in the world to improve their supply chain performance:
Schneider Electric, Danone Wave, Siemen’s, Ocean Spray, and many more.

Mid‑Senior level

Full‑time

Engineering and Information Technology

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