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Sr. Data Scientist II, Personalization Data Science
3 months ago
Sr. Data Scientist II, Personalization Data Science
Bangalore, India
Full-time
Job Family Group: Global Data Science
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.
Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.
The Global AI & Data Innovation team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data Innovations and products to solve client and consumer problems. We are a cross-functional team of data scientists, product managers, AI and data engineers, program managers focused on generating value for the payments ecosystem. We are dreaming of the next generation of AI features and products.
This position is in the Data Science vertical under the Global AI and Data Innovation team. In this role, you will be an individual contributing to develop AI driven products and services, specifically focused on development of models and signals to deliver personalized customer experiences. These personalization models and signals will power Data Tokens and many other personalization-related use cases. The ultimate goal is to better link consumers with products and services, with benefits for every party in the payments ecosystem (consumers, businesses).
Responsibilities include:
Overall design, development and delivery of personalization models and signals to fuel AI products and services on a global scale
Technical Acumen:
- Execute data science capabilities in the personalization space
- Design and develop large-scale data science systems
- Foster innovation and experimentation within the team
Data Science:
- Apply advanced data science techniques to drive business impact
- Stay up-to-date with industry trends and emerging technologies
- Develop and maintain expertise in multiple programming languages and data science tools
Collaboration:
- Work closely with cross-functional teams to integrate data science capabilities
- Communicate complex technical concepts and results to stakeholders
- Influence business decisions with data-driven insights
Technical Expertise:
- Develop and maintain expertise in multiple programming languages (e.g., Python, R, Spark)
- Stay current with industry trends and advancements in data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn)
Strategy:
- Execute personalization data science strategy aligned with business goals
- Identify opportunities for data science to drive business impact
Communication:
- Communicate complex technical concepts and results to stakeholders
- Present data science capabilities and results to senior leadership and business partners
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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications
• 8 years of relevant work experience with a bachelor’s degree or at least 5 years of relevant work experience with an Advanced degree (e.g. Master’s, MBA, JD, MD) or 2 years of work experience with a PhD degree
Preferred Qualifications
• 9+ years of relevant work experience with a bachelor’s degree or 7+ years of relevant work experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or 3+ years of experience with a PhD
• 6+ years of hands-on experience developing advanced data science models
• Advanced Degree/PhD with specialization in AI, Computer Science, Operations Research, Statistics or a highly quantitative field
• Strengths in Deep Learning, Machine Learning, Recommendation systems, Generative models, Statistical analyses
• Expertise in multiple programming languages (e.g., Python, R, Spark)
• Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience working with real-world data sets and building scalable models from large-scale data.
• Experience working with cross-functional teams (e.g., product, engineering, marketing)
• Fluent storyteller with superior interpersonal skills
• Orientation to detail, as expected to ensure highest level of quality/rigor
• Strong project management skills and the ability to meet deadlines in a fast-moving work environment
• Possess a collaborative, diplomatic, and flexible style, with the ability to tailor communication to various audience levels
• Results oriented with strong conceptual, analytical, and problem-solving skills, with demonstrated intellectual and analytical rigor
• Exhibit intellectual curiosity and strive to continually learn
• Experience working in global organizations and roles that need collaboration with stakeholders, partners and development team spread around the globe, gathering regional and global requirements
• Previous exposure to financial services, payments industry is a plus but not mandatory
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
