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Global Foundries - Data Scientist - R/Python

GlobalFoundries
3 - 7 Years
Bangalore

Posted on: 26/03/2026

Job Description

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 Masters degree in a Technical Domain (e.g., Computer Science, Data Science, Statistics).

- Minimum of 2-3 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, 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.


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