Role Overview
The Data Scientist plays a technical and strategic role in building an ecosystem that delivers accurate, timely, and well-structured data for broader enterprise impact.
What You Will Do
Deliver timely and accurate data and model solutions, support data governance activities, and conduct data analyses to enable priority business use cases.
Why It Might Be a Fit
Strong proficiency in statistics, machine learning, and end-to-end automation, including the ability to leverage emerging technologies such as GenAI for analytical acceleration.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Physics, Computer Science, Engineering, or a related field.
- Minimum of 2 years of experience in data science, data governance, or related roles.
- Proficiency in Python, SQL, and Git (familiarity with R is a plus).
- Strong proficiency in statistics, machine learning, and end-to-end automation, including the ability to leverage emerging technologies such as GenAI for analytical acceleration.
- Experience with exploratory data analysis, model building, business validation, and stakeholder management (experience in data cataloguing and/or data pipeline building is a plus).
- Ability to translate complex methods and results into clear, business-relevant insights with transparent communication of assumptions and caveats.
- Strong project management and scenario management skills, including structuring actionable steps, anticipating dependencies, estimating realistic timelines, and proactively addressing roadblocks or data gaps.
To apply for this job please visit careers-page.com.
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