Responsibilities
- Work with business analysts and internal stakeholders to identify business problems and opportunities propose analytics solutions, as well as data and technology requirements, and formalize them into a project Analytics solutions which include, but are not limited to report automation, advanced analytics, and AI engines
- Work with data engineers to plan, identify, and integrate data from multiple source systems to enterprise data platform for analytics purposes
- Perform data exploration, preprocess, and analyse the data (both structured and unstructured); develop and deploy machine learning/deep learning models
- Create dashboards to communicate and present key findings to stakeholders, and manage UAT
- Work with the team to run and prioritise projects according to objectives and business impact
Requirements
- Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering or equivalent disciplines that focused on extensive use of data for analysis
- Strong programming experience using python or spark, with solid understanding of data science concepts.
- Practical knowledge in statistical and machine learning techniques including Regression, Random Forest, Boosting, Trees, Text Mining, Network Analysis, etc
- Practical knowledge in deep learning techniques including computer version, NLP, etc
- Good to have knowledge or hands-on experience on generative AI
- Experience in data visualization software such as Power BI or Tableau.
Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]
We regret to inform that only shortlisted candidates will be contacted.
Job Code: PRIT
PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R1875348 (Tewari Priyanka)
**********************************
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.**********************************