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Hybrid senior role with specialized ML/optimization skills yields moderate applicant competition.
Highly domain-specific optimization and project-management data requirements limit cross-industry transferability.
Requires 8+ years, a Master's, and specific optimization/ML plus AWS and API design skills.
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Own the end-to-end AI/ML development lifecycle for Data Science features within Planview applications, including design, implementation, and deployment in production.
Design and implement optimization models and agentic AI features like forecasting, risk-scoring, and recommendations at enterprise scale.
Lead and mentor other Data Scientists, ensuring high-quality work and fostering continuous learning and collaboration.
Master's degree in Operations Research, Statistics, Computer Science, Data Science, or related field.
8+ years experience as data scientist, data engineer, or ML engineer with proven delivery of Data Science features in Enterprise applications.
Strong Python and SQL coding skills; expertise in Optimization (linear/integer programming, heuristics), Machine Learning, Generative AI, NLP, Statistics, and Simulation.
Experience with AWS Data and ML technologies such as SageMaker, Glue, Athena, Redshift, and building reliable APIs/service interfaces.
Experienced in applying advanced optimization and agentic AI system architectures to solve complex planning and resource allocation challenges at enterprise scale.
Demonstrated ability to collaborate closely with product management in fast-paced environments to build impactful Data Science features.
Skilled at leading technical teams and communicating complex analytical concepts clearly to various stakeholders.