About GlobalFoundries
GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
New College Graduates Overview:
We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.?
Summary of Role:
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 your Lead Data Scientist in fostering partnership with Artificial Intelligence (AI) vendors/start-ups. You will support the Lead Data Scientist 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.
Essential Responsibilities include:
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.
Other Responsibilities:
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications:
Education - Graduating with Bachelor's in Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or related field from an accredited degree program.
Must have at least an overall 3.0 GPA and proven good academic standing.
Language Fluency - English (Written & Verbal)
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.
Strong bias towards action and proven ability toward iteratively and quickly to show incremental impact and value.
Preferred Qualifications:
Prior related internship or co-op experience.
Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.
Strong written and verbal communication skills
Strong planning & organizational skills
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Expected Salary Range
$54,200.00 - $110,300.00
The exact Salary will be determined based on qualifications, experience and location.
The role you are applying for may require you to obtain a US Department of Defense Security Clearance at some time during your employment. Acceptance of this role commits to applying for such if requested. Further, the applicant consents to being asked questions about their citizenship and background to assess the likelihood of obtaining a Security Clearance. The applicant also acknowledges that GlobalFoundries can only nominate and submit an application for a Security Clearance. The granting of a Security Clearance is at the sole discretion of the U.S. Government and the Department of Defense.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law
