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Mid-level, popular Data Scientist title with 3–5 years and multinational brand increases competition.
Core ML, statistical and SQL skills are broadly transferable across industries, so background fit sensitivity is low.
Explicit 3–5 year requirement plus mandatory ML, SQL and platform expertise enforces moderate filtering.
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Provide data science solutions for business problems across Sales, Finance, HR, and Supply Chain domains.
Design, develop, and monitor ML models and data pipelines, ensuring efficient, repeatable projects and production model health.
Collaborate with business and IT teams in Agile environments, communicating solutions transparently to stakeholders.
3-5 years of hands-on experience in data science, machine learning, and statistical analytics with Agile solution delivery.
Expertise with data discovery and analysis platforms such as RStudio, Microsoft Azure ML, or other cloud-based tools, plus strong SQL skills.
Strong analytical and problem-solving abilities demonstrated through practical data science problem-solving.
Work Experience Required: 3-5 years in data science roles.
Experienced operator across multiple business domains, adept at aligning ML/data solutions with business constraints and objectives.
Comfortable working collaboratively in Agile teams with the ability to interface effectively with senior leaders and clients.
Proactive in continuous learning and solution communication, avoiding opaque 'black box' models.