Description
Visa is seeking a Sr. Data/AI Solutions Engineer to drive data-driven decision making across the organization. The successful candidate will collaborate with business stakeholders to design data-based solutions, make data available from new sources, build robust data models, and provide engineering support to specific projects.
Key Responsibilities:
- Deliver small to large-scale data engineering initiatives independently or as part of a cross-functional project team.
- Design, develop, and maintain scalable data models, schema designs, semantic layers, and certified datasets for efficient storage, retrieval, reporting, and analytics.
- Develop and implement advanced data science models, including deep learning, machine learning, recommendation systems, and generative models.
- Create visualizations to communicate complex data and insights in a clear and effective manner.
- Lead and provide direction to technical data science teams, ensuring high-quality and rigorous project outcomes.
- Implement data pipelines using modern data engineering frameworks and platforms such as Spark, Python, SQL, Airflow, dbt, cloud-native data services, and distributed processing technologies.
- Work with large-scale datasets using technologies such as Hadoop/Hive, Spark, Presto/Trino, Python, SQL, cloud data warehouses, and distributed query engines.
- Collaborate with cross-functional teams (product, engineering, marketing) to gather requirements and deliver scalable solutions.
- Support modern cloud-based data platforms across AWS, Azure, or Google Cloud Platform, including cloud data storage, compute, orchestration, monitoring, and security patterns.
- Translate analytics output into actionable business recommendations and communicate results to senior business audiences.
- Manage end-to-end data science projects, including planning, organizing, and delivering results with diverse teams.
- Work with real-world, large-scale data sets to build and deploy scalable models.
- Utilize modern distributed systems and data science tools (e.g., Hadoop, Hive/SQL, Apache Spark, TensorFlow, PyTorch, scikit-learn).
- Ensure reproducibility and quality in analytic pipelines and project deliverables.
Requirements:
- 5+ 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, OR 8+ years of relevant work experience.
Preferred Qualifications:
- Experience in developing advanced data science models and applying machine learning techniques to business problems.
- Experience in managing data science projects from scoping to delivery.
- Experience in extracting and aggregating data from large data sets using SQL or other tools.
- Experience in creating reproducible analytic pipelines.
- Experience in data visualization using Tableau, Power BI, or R/Python.
- Experience in working with modern distributed systems, including Hadoop, Hive/SQL, and Apache Spark.
- Experience in collaborating with cross-functional teams to deliver scalable solutions.
- Experience in communicating complex technical concepts to business audiences.
- Experience in leading project teams and providing technical direction.
- Extensive experience working in the data science, data engineering, or analytics profession.
- Hands-on experience working with extremely large data sets and building scalable models.
- Expertise in multiple programming languages (e.g., Python, R, Spark).
- Experience working in global organizations and collaborating with stakeholders across geographies.
- Previous exposure to financial services or payments industry is a plus but not mandatory.
Salary: The estimated salary range for this position is $133,300.00 to $213,400.00 USD per year, which may include potential sales incentive payments (if applicable).
Benefits: 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.