Data Science Engineer
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Role details
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Job description
We are seeking an experienced Data Science Engineer to lead the design and implementation of predictive models, route optimization algorithms, and advanced analytical features within our software ecosystem. You will bridge the gap between heavy statistics and production-grade engineering. Core Responsibilities: Design, build, and deploy production-grade machine learning models and predictive analytics infrastructure. Handle large-scale data gathering, engineering, pipeline construction, and advanced data cleaning processes. Conduct extensive time-series forecasting, cluster analysis, and custom route or process optimization modeling. Collaborate closely with software and data engineering teams to deploy models directly into scalable enterprise systems.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a relevant quantitative field. 5+ years of verified professional experience in advanced data science or ML engineering environments. Elite coding capabilities in Python or R alongside expert-level production SQL query design. Documented experience deploying scalable models using AWS, GCP, Azure, Docker, or Kubernetes.
About the company
PeopleLC is a forward-thinking global enterprise dedicated to building the future of AI-driven technology, individual career acceleration, hyper-specialised healthcare, and corporate growth strategy. We pride ourselves on cultivating a world-class working culture that treats every employee as a long-term partner. We offer market-leading, best-in-the-industry compensation packages, cutting-edge technical freedom, and a clear path toward long-term career growth.
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