Data Science Product Owner
7 days ago
We are seeking an experienced Senior Data Scientist to lead our data science efforts in product development. The ideal candidate will have a strong background in data engineering, cloud platforms, and machine learning.
About the Job:
This role is responsible for spearheading new projects, providing guidance to junior staff, and nurturing a solid support force for data science-related product development. Additionally, the successful candidate will be the Product Owner for data pipeline maintenance, ensuring the overall stability of the pipeline and initiating enhancements as needed.
The successful candidate will also be responsible for analyzing forecast inquiries from local offices, proposing enhancements to the current models, and responding to forecast system users' inquiries.
Key Responsibilities:
- Lead data science efforts in product development, collaborating with fellow data scientists to drive innovation and improvement.
- Develop and maintain data pipelines, ensuring high-quality data delivery and optimal performance.
- Analyze forecast inquiries, propose enhancements to current models, and respond to user inquiries.
- Mentor junior staff, providing guidance and support to help them grow professionally.
- Work closely with cross-functional teams to ensure seamless integration and alignment.
Requirements:
- Minimum 5 years' experience in SaaS product development, preferably in a senior data scientist role.
- Proficiency in Python/SQL, capable of working independently or as part of a team.
- Proficiency in cloud platforms (GCP preferred), with experience in data governance, database architectures, and data pipelines.
- Excellent communication and problem-solving skills, with the ability to work effectively in a fast-paced environment.
What We Offer:
- A competitive salary range of SGD $120,000 - $180,000 per annum, depending on experience.
- A dynamic and supportive work environment, with opportunities for growth and professional development.
- A comprehensive benefits package, including medical, dental, and vision coverage.
How to Apply:
Please submit your resume and a cover letter outlining your experience and qualifications for this role.
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