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Strong employer brand, generalist Data Scientist title, and metro location increase candidate competition.
Enterprise data modelling and optimization focus makes skills moderately transferable across industries.
Explicit 7+ years requirement and specialized tools (Gurobi, PySpark, SageMaker) raise rigid screening.
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Own and maintain the Data Modelling Framework and curated datasets across ERPs, source systems, and digital landscape in collaboration with technology and business partners.
Govern data sets through the Data Modelling Governance process and support data architecture and operational MI to resolve data challenges aligned to digital strategy.
Act as SME or product owner for digital projects, translate business optimization scenarios into mathematical models, and enable embedding of ML/AI toolkits in data science workflows.
Degree in an analytical field (preferably IT or engineering) or 7+ years of relevant experience.
Proven experience delivering data models and curated datasets for major transformation projects.
Technical skills including data modeling (ER Studio, Gurobi, SageMaker PRO), PowerBI data modeling, and Data Science tools (Python, Amazon SageMaker, GAMS, AMPL, ILOG, AIMMS).
Work Experience Required: Proven track record in delivering data models and curated datasets; notice period: Not explicitly mentioned.
Experience working cross-functionally with multiple business units, technology teams, and stakeholders to support scalable data and analytics solutions.
Strong strategic aptitude for shaping data governance and digital operational excellence aligned with business objectives.
Comfortable leading digital change backlog execution and embedding advanced analytics at scale in a global enterprise environment.