Asks for

The ad says“Product mindset with significant experience working in Agile teams.”
The ad says“Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning”
The ad says“Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning”
The ad says“Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning”
The ad says“Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning”
The ad says“Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)”
The ad says“Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)”
The ad says“Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning”
The ad says“Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)”
The ad says“Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning”
The ad says“Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)”
The ad says“Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)”

About GlobalFoundries

GlobalFoundries (GF) is one of the world’s leading semiconductor foundries and the only one with a truly global footprint spanning three continents. We manufacture complex, feature-rich integrated circuits that enable billions of electronic devices. At GF, we make things that matter — from the solutions that enable the way we live today, to the technologies that drive what’s possible for tomorrow. Join us in changing the industry that is changing the world. For more information, visit www.gf.com.

Why GF

Be a part of our global team that is at the forefront of providing cutting-edge global technology solutions. We are seeking candidates with a strong passion for new technologies and advanced manufacturing, as we continue our Industry 4.0 Digitalization journey using technologies such as Artificial Intelligence and Machine Learning, robotics, big data analytics and more.

Your work will have a direct impact on our expanding Fab Operations, in building out our platforms of purpose-built technologies such as smart mobile devices, personal computing, home and industrial IoT, automotive and more. You will have access to the latest technological developments at GF Labs, with opportunities for patent submissions, presenting your ideas on a global platform, and enjoy GF-wide collaboration across our fabs and offices around the world.

Introduction

As a Data Scientist, you will be reporting to Lead Data Scientist and support in a pivotal role within the Data Science team and assist in the provision analytics technical requirements. You will support your manager to initiate the best-practices in analytics use case development/deployment/scaling/maintaining the data science projects.

You will assist the Lead Data Scientist in fostering partnership with Artificial Intelligence (AI) vendors/start-ups, support in developing and deploying machine learning or other statistical models to address the most complex and operational challenges. You will support in building scalable data products that will drive value and collaborate with all stakeholders across GlobalFoundries.

Your Job:

Work closely with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions.
Collaborate closely with GFIT, Manufacturing Data Domain group to support Lead Data Scientist in building the required data pipelines for productionalized and scalable predictive and prescriptive analytics solutions.
Support Lead Data Scientist to conduct exploratory data analysis and create compelling visualization using complex and high-dimensional datasets.
Help Lead Data Scientist to identify suitable machine learning or statistical approaches on type of problem and train models for optimal performance, including hyperparameter tuning.
Contribute to deploy models into production with assistance from Product Engineers.
Help Lead Data Scientist to validate and monitor models to ensure consistent performance and avoid performance degradation.
Support Lead Data Scientist during technical and analytics capability building within the analytics teams to stay current on best practices and new model techniques.
Communicate value of analytics to Fab leadership and business partners and increase the awareness of analytics Fabs.
Facilitate generating and maximizing value from analytics solutions.

Required 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.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. 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