We are looking for a Data Scientist who understands how data creates business value and is passionate about identifying and implementing data-driven opportunities. The ideal candidate will lead or contribute to impactful data science projects that drive innovation and business performance.
Our client is a leading global organisation with strong presence across the globe. They are looking to hire a Data Scientist to help them on the innovation side.
Key Responsibilities:
Collaborate cross-functionally with business managers, product managers, engineers, and designers to gather requirements and understand business processes.
Apply machine learning techniques to core focus areas such as filter lifetime prediction, air quality management and recommendations, and intelligent industrial filtration.
Design and execute experiments and back-test algorithms using historical data.
Provide strategic recommendations on data architecture and analytics frameworks.
Develop and deploy end-to-end data analytics pipelines.
Design, test, and deploy machine learning models to solve real-world business problems.
Build frameworks for organization-wide experimentation.
Cleanse, transform, and analyze data from multiple sources for both technical and business stakeholders.
Implement data mining and feature engineering strategies to derive meaningful insights.
Leverage advanced data visualization tools for reporting and presentation.
Qualifications & Skills:
Master's or PhD in Computer Science, Data Science, or a related technical field.
Minimum of 5 years of experience with Python or R; strong SQL skills.
Experience in big data tools and platforms such as Hadoop and Spark is a plus.
Extensive hands-on experience with tools like Pandas, NumPy, scikit-learn, Jupyter, R, etc.
Strong foundation in machine learning algorithms (classification, regression, clustering).
Experience deploying applications in cloud environments (preferably AWS).
Name: Sachet Sethi
Direct Line: +65 6697 7971
EA License No: 91C2918
Personnel Registration Number: R1439850
Key Skills
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- Posted
- Jun 10, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Singapore
- Company
- Adecco
Industries
Categories
Related Jobs
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2026-04-12
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