Описание
Work closely with stakeholders from supply chain, finance and customer experience team Cloud exposure – GCP/ AWS / AZURE Expertise in Predictive /Time Series modelling (demonstrated with actual/historical data) about the company We are looking for a Data Scientist / Senior Data Scientist with 2–3 years of experience to act as a crucial technical bridge. You will partner closely with three primary stakeholder teams— Supply Chain & Operations, Finance, and Customer Experience —to scope out requirements, design predictive solutions, and oversee their deployment. From solving high-stakes SKU-level demand forecasting challenges to building smart text-summarization engines for our CRM platforms, your footprints will be all over our growth engine.
about the job Act as the primary technical point of contact for business leaders. Understand the operational pain points, unpack new business ideas, and translate vague requirements into solid data science project plans. Drive our traditional prediction and forecasting systems.
Solve critical supply chain challenges, predicting exact customer demand and sales patterns down to individual SKUs and products . Partner with Research & Development teams to apply data science to product lifecycles and performance parameters (such as analysing battery life data). ").
Design reliable pipelines and ensure models are fully scalable, ready for production deployment. Work side-by-side with a dedicated MLOps sub-team and IT support network to seamlessly deploy your models onto our GCP cloud platform environment using existing infrastructure tools. skills and experience required Holds a Master’s degree or PhD in a STEM field (Science, Technology, Engineering, Mathematics, or Statistics).
2–3 years of hands-on experience delivering real-world data science models from definition through to implementation. , scikit-learn, TensorFlow, PyTorch, Pandas) Whats an offer This is a permanent Data Scientist / Senior Data Scientist role offering a competitive monthly salary of $ 7,500– $ 8,500 , along with company perks and benefits. To apply online please use the 'apply' function, alternatively you can reach me at[linkedin] (EA: 94C3609 / R22109942).
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