Senior Data Scientist, Australia, Visa Consulting & Analytics

Job Description

The Sr. Data scientist for Australia, who will be reporting to the Director of Data Science for Australia, is expected to be having excellent at problem-solving skills using advanced analytics/ Machine learning/ AI with a sharp focus on execution. The candidate will be working with colleagues across the organization to help shape Visa and partner’s business strategies by mining and interpreting data, generate relevant and meaningful insights that informs the strategy.

The incumbent is expected to be hands on and will have the required knowhow to work with big data using cutting-edge machine learning/ AI solutions. The role will have to closely collaborate with data science analysts, members of the broader team in Visa Consulting and Analytics and other business stakeholders.

The role would be focused on the broader Australia and New Zealand market and will be based in Sydney.

Visa's Data Science team is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major FIs and merchants within Asia Pacific. We are looking for a hands-on person who is result oriented, highly organized and focused to delivered industry leading analytics solutions

• Work with large, complex data to measure results, build and develop predictive models, non-routine analysis problems, applying advanced analytical methods as needed; Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Lead development and application of new methodologies and analytic techniques, promoting best practices in the field.
• Build well-managed data solutions, tools and capabilities to enable self-service frameworks for internal/external stakeholders
• Collaborating with the internal teams to fully understand business requirements and desired business outcomes
• Providing thought leadership in both using data to solve business problems and in arriving at innovative statistical solutions
• Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
• Ensuring project delivery within timelines and budget requirements
• Contribute to the development of the team’s analytical skills and expertise.
• Cultivates open and clear communications across team members and stakeholders

Qualifications

Professional

· 8+ years of hands on analytical experience

· Subject matter expert in analytics especially in areas of analytical methodologies

· Able to connect data visualisation insights with business problem

· Superior analytical and problem-solving skills, with demonstrated intellectual and analytical rigor

· Must be team oriented, collaborative, diplomatic, and flexible, with excellent presentation skills, including strong oral and writing capabilities

· Experienced in working across a matrixed organization

· Excellent communicator – should have the capability to translate numbers to business insights

· Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, a team player with good work ethics

· Experienced in working across a matrixed organization

· Previous exposure to financial services, credit cards or merchant analytics is a plus, but not essential

Technical

· Proficiency in coding skills using SAS, SQL, Hive, Python, R, Spark and Pyspark on large datasets

· Competency in data visualisation and data visualisation software such as Tableau, Power BI etc.

· Competent understanding of the recommender system, classification techniques, graph theory, bayesian, time series and regression models are recommended

· Proficiency with Microsoft Excel and Powerpoint

· Proficiency with collaboration tools within Microsoft Office 365 is required

· Experience and in-depth knowledge of the cards and payments business are preferred

Business

· Excellent relationship and stakeholder management skills

· Expert in presenting ideas and analysis to stakeholders.

· Very detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis

· Global mindset, desire and demonstrated ability to work cross-culturally and in a matrixed organization

· Ability to execute and solve problems independently

· Proven skills in translating analytics output to actionable insights and recommendations

Additional Information

Employees participating in this GoShare will get exposed to leaders across function and get visibility into how the organization works and interacts both internally and with clients.

The ideal person can be located in Australia or New Zealand or comfortable working virtually from another AP market.

It is anticipated this GoShare would run for3 months and entail up to 30% of the employee's time for the duration

All your information will be kept confidential according to EEO guidelines.