Sr. Data Scientist

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

What a Senior Data Scientist, Visa Consulting & Analytics does at Visa:       

In this role, you will be reporting to the Delivery Lead for Data Services, Australia. You are expected to have excellent problem-solving skills with the use of advanced analytics, machine learning, AI and a sharp focus on execution. You will be working with colleagues across the organization to help shape Visa and partner’s business strategies by mining and interpreting data and generating relevant and meaningful insights that informs the strategy.

You are expected to be hands on and have the required knowhow to work with big data using cutting edge machine learning, AI solutions. The role will involve close collaboration 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.

Key Responsibilities

• 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 or 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

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Qualifications

Professional

• 8 plus years of hands-on analytical experience in relevel field
• 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
• 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 written and verbal communication skills and the ability to present complex ideas in a clear and 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 Hive, Python, and Pyspark on large datasets
• Competency in data visualization software such as Tableau, Power BI etc.
• Competent understanding of the recommender system, classification techniques, 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 and rigor in reports and 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

Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.