Senior Manager, Data Science at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Stakeholder Engagement, Project Management, Technical Consultancy, Machine Learning, AI Tools, Statistical Modelling, Big Data, Python, SQL, Cloud Platforms, Communication Skills, Innovation, Strategic Thinking, Collaboration, Leadership

Industry

IT Services and IT Consulting

Description

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. Job Description We are seeking a highly motivated Senior Manager – Data Science to collaborate with cross-functional teams to deliver impactful data-driven solutions. This role requires a strong blend of technical expertise, leadership, and stakeholder management skills. The ideal candidate will have a passion for solving business challenges, exceptional communication abilities, and the ability to drive data science initiatives in a collaborative and dynamic environment. Key Responsibilities: Stakeholder Engagement Collaborate with data science leads across Asia Pacific to understand their business requirements, translate them into actionable data science projects, and deliver solutions that address business needs. Communicate complex data science concepts and insights effectively to non-technical stakeholders, ensuring alignment on goals and outcomes. Project & Resource Management Allocate resources efficiently across multiple projects and prioritize initiatives based on business impact. Manage multiple medium-to-large data science projects simultaneously alongside project partners, adhering to timelines and budget constraints and troubleshooting issues as they arise Technical Expertise & Collaboration Technical Consultancy: Offer expert guidance on AI tools, machine learning frameworks, and best practices for data science projects across diverse industries Collaborate closely with the data engineering team to ensure seamless integration of data pipelines, scalable infrastructure, and efficient workflows. Innovation & Best Practices Drive the adoption of best practices in data science methodologies, coding standards, and model deployment strategies. Stay updated with industry trends and emerging technologies to ensure the team remains ahead of the curve. Strategic Roadmapping: Help clients develop long-term AI and data science roadmaps, advising on scalability, feasibility, and resource requirements for future initiatives. Thought Leadership Stay at the forefront of AI advancements and advocate for innovative solutions that drive value for clients This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 9+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD 9 years of experience in Data Science roles, with significant experience in a data science consulting capacity. (with minimum 5 years of experience in AI Data Science role) Accredited master’s degree in computer science, statistics, econometrics , engineering, or related fields Experience in retail banking, payments, financial services, and/or technology industries Proven hands-on experience in advanced analytics and statistical modelling including linear regression, logistic regression, clustering methods (e.g. K-means), principal components analysis, classification methods (decision trees / gradient boosting machines), Monte Carlo analysis, natural language processing, and other techniques Experience designing, building, and deploying machine learning models and algorithms end-to-end at scale Proficient in AI and machine learning ecosystems such as TensorFlow, Keras, Scikit-learn, and Pytorch, Python, SQL, NoSQL, and familiarity with cloud platforms (AWS, Azure, GCP). Experience working with large volumes of data (Big Data): extracting, cleaning and manipulating large datasets using standard tools such as Python/PySpark, R, SQL, Hadoop/Hive, Presto, SAS, etc. Excellent project management, organizational and presentational skills, Excellent communication skills -verbal & written. Excellent communication and interpersonal skills to engage with stakeholders at all levels. Strong project management skills, including the ability to manage multiple projects simultaneously. Strategic thinker with the ability to drive innovation and continuous improvement. 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.

Responsibilities

The Senior Manager, Data Science will collaborate with cross-functional teams to deliver impactful data-driven solutions and manage multiple data science projects. This role involves stakeholder engagement, project management, and driving innovation in data science methodologies.