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Qualifications
- Bachelor’s degree in quantitative fields such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree.
- A minimum of 4 Years of experience in analytics space with proven track record of innovation as a forerunner.
- Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus) Experience in optimization and cloud environments to lead an inter-disciplinary team through scaling and productionisation of recommendation engines.
- Experience in implementing business-focused advanced analysis that can capture industry-specific nuances.
- Strong communication skills to interact with both technical and non-technical audience.
- Proven leadership skills to coach and guide team members to ensure on-time excellence.
- Product mindset with significant experience working in Agile teams.
- Ability to build a sense of trust and rapport within the team and senior leadership.
- Flexibility and ability to work with ambiguous problems and unstructured data.
- We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
- As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
- All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.
- Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia
Sourced directly from GlobalFoundries’s career page
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Specialisation
Open roles at GlobalFoundries
524 positions
Job ID
/job/Singapore/Data-Scientist_JR-2601445
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