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97 Visa Jobs

Data Science Director (AI & ML)

15-20 years

Bangalore / Bengaluru

1 vacancy

Data Science Director (AI & ML)

Visa

posted 5hr ago

Job Role Insights

Flexible timing

Job Description

Visa cards play a crucial role in allowing our commercial solutions partners to pay and be paid. From large enterprises to small businesses, companies depend on Visa to allow their employees ease of operation in the digital payments ecosystem and to provide them with services that can help them gain valuable insights into their customers spending as well as their own spending. The Global Data Science group supports these commercial partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are hiring a data science director to help grow our commercial solutions business and guide our data scientists in the Bangalore office.
 
Essential Functions
  • Drive value from Visa s unique global data assets to answer critical questions within our Visa Commercial Solutions Team
  • Act as a site leader for all data scientists across various internal IA and Data Science teams, helping to manage the relationship between other offices and continue to grow the team within Bangalore
  • Share learning and leverage best practices across groups
  • Develop Metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions
  • Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions
  • Design and develop AI and ML solutions to be applied to solve our stakeholder s business problems
  • Scope and size opportunities and derive actionable insights for account teams
  • Leverage Forecasting models to enable proactive planning of investments and actions
  • Monitor program effectiveness to ensure value quantification of efforts
  • Draw data-driven insights and make actionable recommendations that reflect the specific business and context
  • Utilize Hadoop, and related query engines such as Hive, Python, Spark to perform advanced data mining
  • Apply statistical solutions to business problems, to develop high-level deliverables and communicate data and technical concepts to a business audience
  • Define detailed analytic scope and methodology, and create analytic plans
  • Execute on the analytic plans with appropriate data mining and analytic techniques
  • Present analytics, insights and recommendations to a non-technical audience
  • Provide mentorship in modern analytic techniques and business applications to unlock the value of Visa s unique data set, in keeping with market trends, client needs and emerging techniques
Basic Qualifications
15 years of work experience with a Bachelor s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Master s, MBA, JD, MD) or at least 3 years of work experience with a PhD degree
Preferred Qualifications
Minimum of 12 years of analytical experience in applying solutions to business problems
Post Graduate degree in a Quantitative field
Hands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/Python
Prior experience in payments or financial services industry preferred
Experience in the application of predictive modeling and machine learning techniques
Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
Demonstrated ability to innovate solutions to solve business problems
Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
Understanding of Cards/Payments and Banking business model would be a plus
Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
Detail oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
Proven skills in translating analytics output to actionable recommendations, and delivery
Experience in presenting ideas and analysis to stakeholders
Exhibit intellectual curiosity and strive to continually learn
Experience with managing project teams and providing direction and thought leadership

Employment Type: Full Time, Permanent

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What Visa employees are saying about work life

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75%
100%
Flexible timing
Monday to Friday
No travel
Day Shift
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Visa Benefits

Free Transport
Cafeteria
Work From Home
Education Assistance
Health Insurance
Gymnasium +6 more
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