Responsibilities:
- Understand the business problems end to end and document them in a way that the business can comprehend
- Translate the business problems into a data science problems by analyzing the feasibility, data availability, solution scalability, as well as bottleneck & potential risk if have any
- Evaluate, propose, design and implement data science solutions to address business problems
- Present the analytical findings to management and business stakeholders on the trends, patterns and opportunities
- Explore new technologies especially open source suitable for big data implementation & AI adoption
- Report project progresses in charge
Requirements:
- Degree in Engineering/Science/Maths
- At least 3 years working experience in the field of analytics, data science, designing and implementing statistical, applied machine learning and NLP with real-world projects
- Strong background in handling data and programming
- Working experience with SQL and Python is a must
- Working experience with Scala, Java, Hadoop, Spark, DevOps, MLOps is a plus
- Proven track records of applying Python, R, Scala or Java in ML/DL/NLP
- Ability to multitask and roadmap project needs
- Sound time-management and prioritizing skills
- Good interpersonal and communication skills
- Excellent team player
If you are looking for an environment of growth and opportunities, please direct a full resume, stating the position applied, present and expected salaries to the HR department at recruitment@phillip.com.sg
We regret that only shortlisted candidates will be notified.
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