Data Scientist – Senior Associate

We are HR Data and Analytics, a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, data governance, and artificial intelligence and machine learning (AI / ML) based solutions. We are looking for strong industry experience in quantitative and statistical modeling, data mining, insights delivery, and innovative mindset to analyze large-scale multi-dimensional workforce data. You will be a key contributor and collaborator to our intellectual capital by developing intelligent discovery and decisioning tools.

As a Data Scientist – Senior Associate within the Analytics Team, you will actively engage in analyzing large-scale data to develop analytical, statistical, and data science models that reveal underlying patterns and address business questions related to employee relations, conduct, customer complaints, and talent insights. In this team member contributor role, you will collaborate with various internal stakeholders, translate business inquiries into analytical frameworks, work alongside subject matter experts, and master workforce data. You will implement solutions such as analytics dashboards, proprietary models, and visualization schemes, while continuously embracing learning and innovation by adopting the latest tools and technologies.

Job responsibilities :

• Build and deliver statistical explanatory models, repeatable-scalable analytics workflows, leverage AI tools - from quality checks, feature engineering, to model performance evaluation, and collaborate with technology teams in seamless deployment and operational enhancement in support of HR and partner business functions’ evidence-based data-driven decision.
• Build custom visualization and reporting solutions to communicate insights, trends, and recurring solutions needed for end-user consumption and cross-functional teams in business & technology
• Customize commercial or open-sources analytical solutions, create new algorithms to build proprietary solutions contributing to intellectual capital of the organization.
• Embrace attention to detail, accountability, rigor, timeliness, and robustness in presenting results to a broad spectrum of stakeholders via reports, PowerPoint decks, and insightful visualizations.
• Capture and understand business processes, end-user requirements, translate into customized analytical solutions, communicate results.
• Create and document institutional knowledge from workforce data insights, models, and share such knowledge with relevant team members and stakeholders
• Adhere to various control functions directives, documentation, data protection policies, and regulatory requirements while handling proprietary and sensitive data.

Required qualifications, capabilities, and skills :

Preferred qualifications, capabilities, and skills :