Vice President- Data Science Lead

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 Lead - VP, you will be hands-on in analyzing large-scale data to create analytical, statistical, and data science models to uncover underlying patterns and drivers to business questions in employee relations, conduct, security, compliance, customer complaints, etc.

This is a highly visible technical role that will interact with multiple internal stakeholders in translating questions into analytical domain, mastering workforce data, implementing solutions, and communicating results.

You will embrace a continuous learning and innovation approach in adopting latest tools and technologies.

Job Responsibilities


* Design and implement hands-on analytics and explanatory models for workforce data in support of HR and partner business functions' evidence-based decision.


* Build data science, statistical modeling and analytics workflows, from quality checks, feature engineering, to model performance evaluation, and collaborate with technology teams in seamless production deployment.

Customize commercial or open-sources analytical solutions and create new algorithms to build proprietary solutions contributing to intellectual capital of the organization.


* Manage the design, build, and delivery of analytical solutions with a pragmatic approach in evaluating multiple solutions


* Embrace attention to detail, accountability, rigor, and robustness in data analytics, statistical models, and presenting results to a broad spectrum of stakeholders


* Capture and understand end-user requirements, translate into customized analytical solutions, communicate results via reports, PowerPoint decks, and insightful visualizations.

Articulate complex issues in easy-to-understand ways


* Understand data life cycles, collaborate with cross-functional teams in business & technology, and leverage capabilities to build repeatable, scalable, and automated products.


* 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, data protection policies, and regulatory requirements while handling proprietary and sensitive data.

Required qualifications, capabilities and skills


* 7+ years' experience with Bachelors in a related data discipline (e.g., Computer Science, Economics, Business, IO Psychology, Statistics, Business Anal...