At TrueCommerce, data drives everything we do, and the company is seeking a Data Scientist to turn complex information into actionable intelligence that helps businesses around the world flow smarter, driving data-driven decision making, delivering predictive insights, and developing advanced models that enhance supply chain visibility, efficiency, and optimization for customers.
Requirements
- Strong proficiency in Python, R, and SQL for data analysis and modeling.
- Familiarity with ERP systems (SAP, NetSuite, Oracle, Microsoft Dynamics, or similar) and their data structures.
- Hands-on expertise with machine learning frameworks (e.g., Scikit-learn, TensorFlow, 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.
Responsibilities
- 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.
Other
- 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
- 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.
- Self-starter, great in the grey space, passionate and curious
