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Popular junior data scientist role, metro location, known multinational brand, and broad tool requirements increase competition.
ML/data skills transfer broadly, but industrial automation domain expertise increases fit sensitivity.
Explicit 0–2 years requirement plus mandatory Snowflake, Azure and ML tool skills make shortlisting strict.
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Drive implementation of analytics strategy focusing on predictive analytics and optimization using AI/ML.
Build, maintain, and deploy large-scale statistical models processing billions of data points for actionable insights.
Collaborate with cross-functional teams to solve business challenges through data-driven approaches and support decision-making.
0–2 years experience in Data Science, Data Analytics, Machine Learning, Computer Science, or Software Engineering (including academic projects or internships).
Proficiency in Python, SQL, Snowflake Data Cloud, data modeling, ETL/ELT concepts, APIs, and version control tools like Git.
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, or related quantitative field.
Valid work authorization and visa/work permit as required by job location.
Familiar with industrial automation and manufacturing sector technologies and data platforms (e.g., Azure cloud services, Power BI).
Experienced or comfortable managing the complete data analytics lifecycle including data discovery, modeling, deployment, and monitoring.
Ability to communicate technical concepts clearly to non-technical stakeholders and collaborate across multiple disciplines.