Job Description

Design and implement data science and machine learning solutions that blend cutting-edge research with practical deployment. Working across industries, domains, and use cases, you’ll tackle challenging analytical problems, build robust models, and deliver insights that power client-facing tools and internal platforms. Develop end-to-end models for prediction, classification, optimization, or inference—taking projects from exploratory analysis through production deployment. Partner with software engineers, analysts, and fellow data scientists to integrate data-driven models into scalable, deployable systems that operate in dynamic production environments. Work closely with stakeholders to frame ambiguous problems, explore solution paths, and translate complex technical insights into clear, actionable recommendations. Lead the exploration and analysis of large and diverse datasets using tools like Pandas, NumPy, and Spark to inform model design, evaluate performance, and identify opportunities for improvement. Stay current with advances in statistics, machine learning, and data engineering practices—adapting new methods and technologies to deliver measurable impact on real-world problems.
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