📋 Job Details at a Glance 📍 Location Bangalore, India 🏢 Company GlobalFoundries 👥 Experience 2-3 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Up to ₹8 LPA 🏢 Industry Technology 🛠 Key Skills Communication Skills Problem Solving Basic Computer Knowledge Data Scientist – HR Data Analytics at GlobalFoundries — Full Details & How to Apply GlobalFoundries is seeking a Data Scientist – HR Data Analytics to join their innovative team in Bangalore, India . This role offers a unique opportunity to leverage data for impactful HR decisions in a leading technology firm, making it a pivotal position in today's data-driven landscape. In the current technology sector, the role of a Data Scientist – HR Data Analytics is crucial as organizations strive to optimize their workforce and enhance employee engagement. With the rise of data analytics, companies are increasingly relying on data-driven insights to refine hiring processes, improve employee retention, and foster a culture of continuous improvement. This role is not just about crunching numbers; it’s about translating data into actionable strategies that can significantly influence HR outcomes. GlobalFoundries stands out as a premier employer in the technology industry, known for its commitment to innovation and employee development. The company fosters a collaborative environment that encourages creativity and growth, making it an ideal workplace for those looking to make a significant impact. With access to cutting-edge projects and a strong emphasis on professional development, employees at GlobalFoundries are well-positioned to advance their careers in a fast-paced, technology-driven landscape. This position is ideal for both freshers and candidates with up to 3 years of experience . If you hold a B.Tech, MCA, or any graduate degree and belong to the 2023, 2024, 2025, or 2026 batches, you are encouraged to apply. The Data Scientist – HR Data Analytics role is perfect for those who are eager to dive into the world of data analytics and make a meaningful contribution to HR strategies. As a Data Scientist – HR Data Analytics at GlobalFoundries , you will gain invaluable skills in cloud architecture , production-grade Java development , and Agile workflows . These competencies will not only enhance your technical expertise but also prepare you for future leadership roles within the organization. The experience you gain here will be instrumental in shaping your career in the technology sector. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate information to apply online for the Data Scientist – HR Data Analytics position at GlobalFoundries . Job Role & Responsibilities The role of a Data Scientist – HR Data Analytics at GlobalFoundries is pivotal in leveraging data to enhance human resource strategies and initiatives. This position focuses on analyzing HR data to uncover trends that can significantly influence organizational performance and employee engagement. Analyze HR data to identify trends and provide actionable insights that drive strategic HR initiatives. Utilize tools such as Python , R , and SQL to manipulate and analyze large datasets relevant to employee performance and engagement. Collaborate with cross-functional teams , including HR and IT, to ensure data integrity and alignment with organizational goals. Develop and track key performance indicators (KPIs) to assess the effectiveness of HR programs and initiatives. Take ownership of data projects, from conception to implementation, ensuring timely delivery and alignment with business objectives. Prepare comprehensive reports and presentations to communicate findings and recommendations to stakeholders effectively. Innovate data solutions to address complex HR challenges, enhancing decision-making processes across the organization. Conduct statistical analyses to support HR decision-making and predict future trends in employee engagement. Maintain a strong understanding of emerging trends in HR analytics to continuously improve processes and methodologies. This role fosters an ownership culture where you will be empowered to make impactful decisions that align with GlobalFoundries' strategic objectives, ultimately enhancing the overall employee experience. Required Skills & Technical Competencies The ideal candidate for the Data Scientist – HR Data Analytics position at GlobalFoundries should possess a robust skill set that combines analytical prowess with technical expertise. This unique blend is essential for deriving meaningful insights from complex HR data. Technical Skills Python (Intermediate) — used for data manipulation and analysis of large HR datasets. R (Intermediate) — employed for statistical analysis and predictive modeling in HR contexts. SQL (Advanced) — essential for querying databases and extracting relevant HR data efficiently. Data Visualization (Tableau/Power BI) — proficiency required to present data findings clearly to stakeholders. Statistical Analysis — familiarity with techniques to interpret HR data and support decision-making. Machine Learning Concepts — understanding of algorithms that can predict HR trends and outcomes. Soft Skills & Professional Competencies Strong analytical skills — essential for interpreting complex HR data and deriving meaningful insights. Excellent communication skills — vital for articulating data-driven insights to non-technical stakeholders. Problem-solving — ability to address complex HR challenges with innovative data solutions. Collaboration — working effectively with cross-functional teams to achieve common goals. Good to Have (Bonus) Familiarity with HRIS systems — understanding of how HR data is managed and utilized. Experience with data cleaning techniques — crucial for ensuring data integrity. Knowledge of HR policies and practices — enhances the relevance of data analysis. To effectively showcase these skills in your resume or during an interview for the Data Scientist – HR Data Analytics role, focus on specific projects or experiences that highlight your analytical capabilities and technical proficiencies in HR contexts. Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to make a mark in the field of HR analytics at GlobalFoundries . Candidates should possess a blend of educational qualifications and relevant experience. Candidates must hold a degree in any discipline, with a preference for fields related to data science , statistics , or human resources . Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 6.0 is preferred, reflecting a solid academic foundation. Both freshers and candidates with 2-3 years of experience are welcome to apply. Projects or internships showcasing data analysis skills , particularly in HR contexts, will significantly strengthen your application. Documentation & Portfolio Requirements Prepare a concise resume highlighting relevant skills and experiences, along with a portfolio that includes any GitHub projects or certifications related to data analytics. Pro Tip: Tailor your application to emphasize your analytical projects and any experience with HR data to improve your success rate for the Data Scientist – HR Data Analytics role at GlobalFoundries . Salary & Benefits 💰 Compensation Up to ₹8 LPA The compensation philosophy at GlobalFoundries emphasizes the importance of data-driven decision-making in HR, offering a competitive salary of up to ₹8 LPA for the role of Data Scientist – HR Data Analytics . This reflects the company's commitment to attracting top talent in the technology sector. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Continuous Learning Opportunities — access to training programs, certifications, and mentorship from industry leaders Flexible Working Hours — promoting a healthy work-life balance with options for hybrid work arrangements Structured Promotion Timelines — clear pathways for career advancement within the company Meal Allowances — support for daily meals to enhance employee satisfaction Transportation Support — assistance with commuting costs to and from work Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Stock Options — potential for equity participation in the company Wellness Programs — initiatives aimed at promoting physical and mental well-being Employee Assistance Programs — confidential support for personal and professional challenges Team Building Activities — regular events to foster collaboration and camaraderie among employees Career Progression & Salary Growth At GlobalFoundries , appraisal cycles typically occur annually, with raises averaging between 10% to 15% based on performance. The company has a robust internal promotion policy, allowing for rapid career advancement and opportunities for internal mobility, ensuring that employees can grow their careers effectively. NexisGrow.com tip: When negotiating your salary, consider discussing your unique skills in data analytics and how they can contribute to GlobalFoundries ’ goals, potentially justifying a higher starting salary. Selection Process The hiring philosophy at GlobalFoundries is centered on finding candidates who not only possess the necessary technical skills but also align with the company's culture and values. The selection process is designed to evaluate both your analytical capabilities and your fit within the team. 1 Round 1: Initial Screening — review of applications focusing on relevant skills and experience as outlined in the job description. 2 Round 2: Technical Interview — assessment of your analytical skills and knowledge of data science tools relevant to HR analytics. 3 Round 3: Behavioral Interview — evaluation of cultural fit and communication skills, emphasizing teamwork and problem-solving abilities. 4 Final Stage: Offer Extension — pending background checks and reference verification to ensure alignment with company values. What Each Round Tests In Round 1 , the focus is on your qualifications and relevant experience. Round 2 dives into your technical expertise, particularly in Python and data analytics . Round 3 assesses your soft skills, such as communication skills and problem-solving abilities. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Expect to receive a confirmation email regarding your application status, followed by updates throughout the process. Interview Prep Tip: Familiarize yourself with GlobalFoundries ’ core values and prepare examples that demonstrate your alignment with their culture during the behavioral interview. How to Apply for Data Scientist – HR Data Analytics at GlobalFoundries Apply Now — GlobalFoundries Step 1: Click the Apply button or visit the official career link at GlobalFoundries Careers . Step 2: Fill in your profile/resume, highlighting relevant skills and experiences that align with the job description. Step 3: Expect a confirmation email regarding your application status, followed by a screening process that may include assessments. Step 4: Applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances of consideration. Step 5: Tailor your resume to emphasize data analytics projects or experiences that demonstrate your problem-solving abilities . Resume & Profile Tips for This Role Highlight Technical Skills — emphasize your proficiency in Python , R , and data visualization tools . Showcase Relevant Experience — include any internships or hands-on project experience related to HR analytics. Demonstrate Soft Skills — provide examples of your communication skills and teamwork in past roles. Quantify Achievements — use numbers to illustrate your impact, such as improved efficiency or data-driven insights. It’s advisable to apply early, as applications are reviewed on a rolling basis, increasing your chances of consideration. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Scientist role at GlobalFoundries? Eligibility Tap to expand + Answer Candidates must hold a degree in any field, with eligibility for batches 2023-2026. Both freshers and those with 2-3 years of experience are encouraged to apply. ? What is the interview process for the Data Scientist position at GlobalFoundries? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focused on data analysis, and a behavioral interview assessing cultural fit. ? What technologies and tools will I work with as a Data Scientist? Tech Stack Tap to expand + Answer You will primarily work with Python, R, SQL, and data visualization tools like Tableau to analyze and present HR data. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary for this position is up to ₹8 LPA, with opportunities for performance-based bonuses and salary growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bangalore, with potential for hybrid work arrangements based on project needs. ? What is the career growth path after joining GlobalFoundries as a Data Scientist? Growth Tap to expand + Answer In the first 6-12 months, expect to take on more complex projects, with potential promotions and leadership opportunities in 2-3 years. ? How should I prepare for the Data Scientist interview at GlobalFoundries? Preparation Tap to expand + Answer Focus on enhancing your analytical skills, familiarize yourself with relevant tools, and prepare to discuss past projects and problem-solving experiences. ? How do I apply and what documents are needed? Application Tap to expand + Answer To apply, visit the provided link and submit your resume highlighting relevant experiences and skills tailored to the job description. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period of 6 months, during which your performance will be evaluated against set objectives. ? What is the work culture like at GlobalFoundries? Culture Tap to expand + Answer The work culture emphasizes collaboration, innovation, and continuous learning, fostering an inclusive environment where all voices are heard. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com