Key job responsibilities:

• Manage GBS case management system including feature enhancements and user access.
• Develop deep understanding of HP’s data ecosystem to leverage existing capabilities and define new requirements for fraud detection.
• Drive innovation and integration of new data science-related technologies and practices into projects and business initiatives.
• Define and implement models to uncover fraud patterns and predictions creating business value and innovation.
• Apply knowledge of AI and ML to define data products, schemas, and models to automate data solutions that can scale.
• Draw insights into effective visualizations, communicating business value and innovation potential.
• Implement measures to ensure data accuracy and accessibility.
• Identify new opportunities for data acquisition, technologies, and partner collaborations to bring value to the business and data science domain.
• Merge new systems with existing warehouse structures.
• Develop a GBS data strategy with an end-to-end vision for data flow that aligns with HP’s digital transformation.
• Define a roadmap that defines the data requirements for new feature development to incorporate needs of the business.
• Manages relationships with business partners to evaluate and foster data-driven innovation and resolve issues.
• Develop data pipelines and warehousing strategies that prepare data for robust analysis.
• Provide guidance, training and mentoring to less-experienced staff.
• Collaborate with managers, investigators, analysts, developers, and other SMEs to ensure free flow of information and appropriate data/product provision.
• Maintain current knowledge of industry approaches and available technologies.
• Option to perform link analysis and ad hoc OSINT research to support investigations.

Knowledge and skills:

• Extensive experience using statistics, mathematics, algorithms, and programming languages (such as SQL, Python, and R) to solve big data challenges.
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
• Expert knowledge of data science concepts and use of AI and Machine Learning.
• Experience working with different database types, data warehousing, and data manipulation.
• Ability to define and create complex models to pull valuable insights, predictions, and innovation from data.
• Expertise with visualization tools like PowerBI and Tableau.
• Understanding of data compliance and privacy standards on data capture and usage.
• Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate data insights and negotiate options at senior management levels.
• Advanced project management skills, ideally in Agile methodology.
• Strong business acumen and business process understanding.
• OSINT research and link analysis skills are a plus.

Personal skills and qualities:

• Detective mindset and puts data at the heart of everything he/she does.
• Able to analyze, model, and interpret large volumes of raw data, draw conclusions, and develop actionable recommendations.
• Demonstrated ability to perform under pressure and rapidly respond to requirements.
• Able to influence and negotiate at senior management level.
• Able to problem solve independently and proactively by working on complex issues and making evidence-based decisions.
• Strong collaborator with excellent written and spoken English.
• Growth mindset with willingness to continuously learn and share knowledge with others.
• Team player with fun and energetic spirit.
• Highly innovative mindset with willingness to experiment.

Education and professional experience required:

• Minimum Bachelor’s degree in mathematics, Economics, Physics, Computer Science, or equivalent.
• Typically, 6-10 years’ experience including graduate or postgraduate research.
• Data Management Professional (CDMP) highly desirable.
• Project Management Professional (PMP) or Agile Certification is a plus.