Company Description Visa is a world leader in payments and technology with over 259 billion payments transactions flowing safely between consumers merchants financial institutions and government entities in 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 while driven by a common purpose - to uplift everyone everywhere by being the best way to pay and be paid Make an impact with a purpose-driven industry leader Join us today and experience Life at Visa 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 AI ML Products and Platforms 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 AI ML Products and Platforms 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 advantages for every party in the payments ecosystem consumers businesses Responsibilities include Solve complex problems for our clients and Visa using appropriate data AI ML models and data science techniques as part of a Center of Excellence CoE team Create frameworks and assets which can be leveraged by global and regional data science teams across Visa to address business problems Technical Leadership Develop and Execute data science capabilities useful for Visa and its clients Design and develop large-scale data science systems Foster innovation and experimentation within the team Data Science Apply advanced data science techniques and models 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 Strategy Execute 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 Expectation of days in the office will be confirmed by your Hiring Manager Qualifications Basic Qualifications 5 or more years of relevant work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree e g Masters MBA JD MD or 0 years of work experience with a PhD Preferred Qualifications 6 or more years of work experience with a Bachelor s Degree or 4 or more years of relevant experience with an Advanced Degree e g Masters MBA JD MD or up to 3 years of relevant experience with a PhD 4 years of work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree e g Master s MBA JD MD or 0 years of work experience with a PhD degree Preferred Qualifications 6-8 years of work experience with a Bachelor s Degree or 4-6 years of work experience with an Advanced Degree e g Master s MBA JD MD or 3 years of experience with a PhD 4 years experience in data-based decision-making or quantitative analysis Master s degree in Statistics Operations Research Applied Mathematics Economics Data Science Business Analytics Computer Science or a related technical field 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 Extracting and aggregating data from large data sets using SQL Hive or Spark Analyzing large data sets using programming languages such as Python R SQL and or Spark Generating and visualizing data-based insights in software such as Tableau Communicating evidence based insights and conveying relevant recommendations Leading and coordinating work in Office software Building predictive and descriptive statistical models using machine learning tool kit Jupiter notebooks Python and or SAS Data mining and statistical modeling e g regression modeling clustering techniques decision trees etc Previous exposure to financial services credit cards or merchant analytics is a plus but not required Running projects from scoping to delivery and engaging with internal external partners 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

📌 Senior Data Scientist (python, Spark, Sql, Hadoop, Xgboost, Transformers, Rnn, Lstm, Decision Tree, Regression) (Bengaluru)
🏢 Visa
📍 Bengaluru