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.
As a Senior Data Scientist, you'll join our Value-Added Services – Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile development environment, collaborating with colleagues who will support and challenge you daily.
Key Responsibilities:
Essential Functions:
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.
Basic Qualifications:
• 5 or more years of relevant work experience with a Bachelors 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 Bachelors 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 • Demonstrated leadership in delivering high-quality, large-scale, enterprise- class applications • Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. • Expertise in Java, REST APIs, and container-based technologies (Docker, Kubernetes)• Proficiency in creating and managing large-scale data pipelines and machine learning models • Experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models • Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services • Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M • Strong experience with UI technologies (Redux, React.js, HTML5, CSS4, jQuery/JavaScript). • Familiarity with Agile development, TDD, CI/CD, and various databases • Proven track record of building reliable, scalable, and operable applications • Ability to manage component security analysis and collaborate with security teams • Strong work ethic, focus on immediate goals, and proven experience as a technical leader • Passion for mentoring and helping juniors grow professionally • Excellent communication and interpersonal skills, and a strong team playerWork Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $155,300 to $225,300 per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
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