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

Job Overview:

Our HR Analytics team is looking for a Junior Data Scientist with a strong foundation in AI/ML and data engineering concepts along with a good working knowledge of advanced analytics solutions. You will be responsible for designing and building analytical solutions using a variety of AI/ML, statistical and mathematical modelling concepts to uncover HR insights. Your role includes developing proof-of-concepts, creating visualizations, and partnering with other team members to optimize and advance the processes. You will collaborate closely with HR professionals and global teams to provide actionable data-driven insights that enhance our HR processes and decision-making.

Key Responsibilities:

• Design and develop analytical solutions using AI/ML algorithms and statistical/mathematical models.
• Visualize data insights using Excel and BI tools (e.g., Power BI).
• Create and maintain data models/pipelines to support HR analytics and insights.
• Perform in-depth data analysis to generate meaningful HR insights and reports for stakeholders.
• Collaborate with the global HR analytics team to understand requirements and translate them into data solutions.
• Ensure data accuracy, consistency, and security across all HR data models and pipelines.
• Continuously optimize and improve HR data models and processes for better performance.

Required Qualifications:

• Bachelor's or Master’s degree in a Technical Domain (e.g., Computer Science, Data Science, Statistics).
• Minimum of 5 years of experience in Data Analytics, with a focus on HR analytics preferred.
• Strong proficiency in Advanced analytics, Programming (Python/R), Data Modelling, Data pipeline development, Power BI, SQL, and MS Excel.
• Excellent analytical skills and attention to detail.
• Strong communication skills, capable of explaining complex data concepts to HR and business stakeholders.

Preferred Qualifications:

• Experience working in HR analytics or related fields.
• Familiarity with cloud-based data platforms and tools.
• Experience working with global teams in a collaborative environment.

Cultural Fit:

• Commitment to Global Foundries’ core values of innovation, integrity, and teamwork.
• Strong interpersonal skills and a collaborative mindset, with the ability to build positive relationships across diverse teams.
• A proactive approach to learning and adapting in a dynamic, fast-paced environment.

What We Offer:

• Competitive salary and comprehensive benefits package.
• Opportunities for continuous learning and career growth.
• A collaborative, inclusive work culture.
• Flexible work arrangements, including a hybrid work model.

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.