# Sr. Data/AI Solutions Engineer

**Company**: Visa
**Location**: Austin, TX
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $133,300.00 to $213,400.00 USD per year
**Category**: Data Science
**Industry**: Finance

**Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/US---Austin-TX/Senior-Data-Scientist--AI-Solutions-Engineering---Client-Services_REF088746W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b693e610-4eb

## 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.

## Skills

### Required
- Python
- SQL
- Spark
- Hadoop
- Hive
- Apache Spark
- TensorFlow
- PyTorch
- scikit-learn
- Machine Learning
- Deep Learning
- Data Engineering

### Nice to have
- Tableau
- Power BI
- R
- Data Visualization
- Cloud Computing
- AWS
- Azure
- Google Cloud Platform

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Source: [Apply at visa.wd5.myworkdayjobs.com](https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/US---Austin-TX/Senior-Data-Scientist--AI-Solutions-Engineering---Client-Services_REF088746W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)