Job Description

Title : Sr Lead Talent Analytics - Data Scientist About GLOBALFOUNDRIES : GLOBALFOUNDRIES 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, GLOBALFOUNDRIES 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. Summary of Role: The Data Scientist will join a growing talent analytics team that is responsible for building out new sophisticated talent insights for our organization, teams, and individuals to measure our talent efficiency and effectiveness. You will us scientific methods, algorithms, and tools to extract insights and knowledge from large volumes of data and analyzing and interpreting complex data sets to solve business problems, drive decision-making, and provide strategic recommendations. Essential Responsibilities: Data Collection and Preprocessing: Identify, collect, and preprocess large volumes of structured and unstructured data from various sources, including databases, APIs, and external datasets. Clean, transform, and integrate data to ensure its quality and suitability for analysis. Exploratory Data Analysis (EDA): Conduct exploratory analysis to understand the characteristics of the data, identify patterns, relationships, and anomalies. Apply statistical methods and visualization techniques to gain insights and generate hypotheses. Statistical Modeling and Machine Learning: Develop and apply statistical models, algorithms, and machine learning techniques to analyze data and solve complex business problems. This includes regression, classification, clustering, time series analysis, and other predictive modeling techniques. Feature Engineering and Selection: Identify relevant features and variables that contribute to the accuracy and effectiveness of predictive models. Perform feature engineering, extraction, and selection to improve model performance. Collaborative Problem-Solving: Work closely with cross-functional teams, including business stakeholders, data engineers, and software developers, to understand business needs, define problem statements, and develop data-driven solutions. Continuous Learning and Improvement: Stay updated with the latest advancements in data science, machine learning, and related fields. Continuously enhance skills and knowledge through self-learning, attending conferences, and participating in training programs. Required Qualifications: Strong Analytical Skills: Proficiency in data analysis, statistics, and mathematical modeling. Ability to apply statistical methods and quantitative techniques to extract insights from data. Programming Skills: Proficiency in programming languages such as Python or R for data manipulation, analysis, and modeling. Familiarity with data manipulation libraries (e.g., pandas) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Problem-Solving Abilities: Strong analytical and critical thinking skills to identify business problems, formulate hypotheses, and develop data-driven solutions. Communication Skills: Excellent written and verbal communication skills to effectively convey complex ideas and insights to both technical and non-technical stakeholders. Domain Knowledge: Familiarity with the specific industry or domain relevant to the organization, such as finance, healthcare, e-commerce, etc. This includes understanding business processes, key performance indicators, and industry-specific challenges. Preferred Qualifications: Education and Experience: A bachelor\'s or master\'s degree in a field such as data science, statistics, mathematics, computer science, or a related quantitative discipline. Relevant work experience in data analysis, statistical modeling, or machine learning is highly desirable. Years of experience required with Bachelor degree 10-12 years/master\'s 8-10 years. 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. To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date. For new hires, the appointment is contingent upon the provision of a copy of their COVID-19 vaccination document, subject to any written request for medical or religious accommodation Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

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