Manager Data Scientist

4 - 6 years

15 - 20 Lacs

Posted:6 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Are you an experienced data scientist with a passion for applying advanced analytics to organizational and people-related dataDo you want to help shape the future of work at a global, diverse company like InfineonJoin us as a Data Scientist - People Analytics and contribute to impactful projects that drive data-informed decisions across our HR landscape.This position is part of the newly established Data Analytics & Reporting Team within HR Digital, which belongs to HR People Services. Our vision is to empower HR to become a truly data-driven organization and to create tangible value from data for our people, our processes, and our business.
In your new role you will:
  • Evaluate, apply analytical methods and tools (eg, regression models/GLM, simulations, machine learning) to generate actionable diagnostic, predictive, and prescriptive insights.
  • Collaborate with HR Global Functional Teams (GFT) (eg, Talent Acquisition, Talent Development, Organizational Effectiveness) to develop scalable analytical approaches across a variety of use cases.
  • Contribute to making HR a data-driven organization by interpreting and communicating insights clearly to stakeholders and provide data-driven decision support to HR business partners and leaders.
  • Identify and prepare relevant data sets to explore opportunities to enhance data quality and collection, and prepare data (eg, using Tableau Prep Builder ) for visualization.
  • Identify innovative data science practices and defining data requirements.
  • Document methodologies and best practices, and support the upskilling of key stakeholders through knowledge sharing.
  • Actively contribute to the growth of our Data Scientist Community.
You are best equipped for this task if you have:
As a Data Scientist , you quickly absorb information, analyze it from multiple perspectives, and uncover meaningful patterns . You maintain a strategic view even in complex situations and support decision-making in uncertain environments. You are a collaborative team player who builds strong relationships with stakeholders.
  • A degree focused on empirical or statistical methods, such as Economics, Computer Science, Machine Learning, Mathematics, or Statistics; ideally a Master s degree .
  • 4-6 years of relevant experience in applying analytics in a business context .
  • Strong expertise in advanced analytical methods and the ability to translate insights into actionable recommendations.
  • Solid experience in empirical social research methods (eg, regression models/GLM, NLP, ML).
  • Proficiency in Python or R and relevant libraries , along with hands-on experience using data visualization tools such as Tableau and Tableau Prep Builder.
  • Experience leading or coordinating data science projects, ideally with exposure to People Analytics (a plus, but not required).
  • Excellent command of English

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