TrueCommerce 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 their customers.
Requirements
- 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, 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).
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
- 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.
- Master's degree is required (Data Science, Computer Science, Machine Learning, Statistics, or Mathematics or related field)
- passion for leveraging data science to solve complex challenges.
- self-starter, that is great in the grey space, is passionate and curious and known for their ability to drive automation, insights and impact.
