Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy, and consent to receive emails from Rise
Jobs / Job page
Senior Staff Data Scientist - Director level image - Rise Careers
Job details

Senior Staff Data Scientist - Director level - job 19 of 20

The Senior Staff Data Scientist, you will play a crucial role in building our data capabilities, collecting, analyzing, driving insights, and delivering machine learning and AI solutions that enhance our offerings. Your will play a pivotal role in building the organization’s “data muscle”, empowering teams to leverage data for smarter decisions, operational excellence and innovation. This is a unique opportunity to work in a fast-paced and startup environment where your contributions will have a direct impact.

This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The role requires a seasoned professional with deep expertise in data strategy, analytics, governance paired with a hands-on and scrappy mindset to deliver impactful results. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. 

To be successful in this position, you must be highly effective working both independently and in cross-functional capacities.

 

Essential Functions

  • Formulate business problems as technical data problems while ensuring key business drivers are collected in collaboration product stakeholders.
  • Work with product and engineering to ensure effective solutions. Deliver prototypes and production code based on need.
  • Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.
  • Build needed data transformations on structured and un-structured data.
  • Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, analytics, and statistical techniques.
  • Devise and implement methods for efficiently monitoring model efficiency and performance in production.
  • Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
  • Contribute to development and adoption of shared predictive analytics infrastructure.
  • Data mining, processing and analyzing large datasets to generate insightful reports.
  • Develop data modeling processes and algorithms to derive meaningful actionable insights from structured and unstructured big data
  • Utilize statistical analysis, data visualization, and machine learning techniques to extract meaningful insights from datasets. Identify and interpret patterns, trends, and correlations within payment data.
  • Generate comprehensive dashboards and reports for organizational leadership to use in a business setting.

 

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.

Average salary estimate

$175000 / YEARLY (est.)
min
max
$150000K
$200000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Staff Data Scientist - Director level, Visa

As the Senior Staff Data Scientist at a leading firm in Austin, you will embark on a transformative journey where you’ll be at the forefront of innovation, shaping data capabilities that drive actionable insights. Here, your expertise won't just be valued; it will be crucial in harnessing the power of data, enhancing machine learning and AI solutions that redefine our offerings. This role is perfect for someone with a strong background in data strategy and analytics, paired with a hands-on mindset to produce impactful results. Imagine being the architect behind our organization’s evolution into a data powerhouse, enabling teams to make smarter decisions for operational excellence and groundbreaking innovation. Daily, you will tackle business problems by translating them into technical data challenges, collaborating closely with product and engineering teams to deliver effective, robust solutions. Whether you’re developing custom algorithms or enhancing predictive models, every project will be filled with experimentation and learning, shaping the future of our strategic vision. Your journey will take you through various data sets—both structured and unstructured—where your knack for data visualization and machine learning will shine. If you thrive in a fast-paced, startup-like environment and are keen on seeing tangible impacts from your work, then this role is an exceptional opportunity to help lead our data drive while working hybrid between office and remote. Join us in Austin and take your career to the next level!

Frequently Asked Questions (FAQs) for Senior Staff Data Scientist - Director level Role at Visa
What are the key responsibilities of a Senior Staff Data Scientist at the company?

In the role of Senior Staff Data Scientist, you will be engaging in several key responsibilities that are crucial for driving the company's data mission. This includes formulating business problems as technical data issues, collaborating with product stakeholders, developing prototypes and production code, and experimenting with various data sets to test hypotheses. You'll also build and evaluate modeling and scoring algorithms to ensure that our data practices deliver meaningful and actionable insights.

Join Rise to see the full answer
What qualifications are needed for the Senior Staff Data Scientist position at the company?

To excel as a Senior Staff Data Scientist at our Austin location, candidates should possess strong academic backgrounds in relevant fields such as computer science, statistics, or data science. Additionally, having a proven record in data strategy and analytics is essential. Strong software engineering skills combined with the ability to work both independently and collaboratively in cross-functional teams are also vital for success in this role.

Join Rise to see the full answer
How does the company support professional development for Senior Staff Data Scientists?

We take pride in fostering a culture of continuous learning and professional development. Senior Staff Data Scientists have opportunities to advance their skills through internal workshops, attending industry conferences, and collaborating with other experts in data science. We believe that investing in talent not only enriches our teams but also drives innovation within the company.

Join Rise to see the full answer
Can you explain the hybrid work model for Senior Staff Data Scientists at the company?

The Senior Staff Data Scientist position operates on a hybrid work model, allowing for flexibility between remote and in-office work. Employees in this role are expected to be in the office 2-3 days a week, depending on organizational needs and leadership guidance. This model offers the best of both worlds, enabling you to engage with colleagues face-to-face while also enjoying the convenience of remote work.

Join Rise to see the full answer
What does the team culture look like for Senior Staff Data Scientists at the company?

The team culture fosters collaboration and innovation, wherein Senior Staff Data Scientists are encouraged to share ideas, experiment with new technologies, and contribute to projects that drive the company's objectives. Our environment emphasizes support and communication, making it an ideal space for professionals seeking to make a real impact.

Join Rise to see the full answer
Common Interview Questions for Senior Staff Data Scientist - Director level
Can you describe your experience with machine learning models?

In response to this question, emphasize your hands-on experience with various machine learning models, including how you've implemented them in past projects. Discuss specific algorithms you have used, the results you achieved, and the challenges you faced—and how you overcame them to deliver solutions.

Join Rise to see the full answer
How do you approach data analysis when given a new dataset?

Talk about your methodical approach to data analysis, beginning with understanding the business objectives, exploring the dataset, cleaning it, and applying appropriate analytical techniques. Make sure to highlight any tools or programming languages you prefer using and how they help you derive insights effectively.

Join Rise to see the full answer
What techniques have you used for data visualization?

Share specific tools and platforms you have utilized for data visualization, such as Tableau, Power BI, or even Python libraries like Matplotlib and Seaborn. Cite examples of how your visualizations have successfully communicated complex findings to stakeholders.

Join Rise to see the full answer
How do you ensure your models remain relevant after deployment?

Discuss your strategies for monitoring model performance post-deployment, including techniques for updating models and assessing their effectiveness in real time. Mention any automated systems you’ve put in place to continually evaluate and refine them.

Join Rise to see the full answer
What is your experience with cross-functional collaboration?

Explain how you've successfully collaborated with multidisciplinary teams, showcasing your communication skills and ability to work harmoniously with product managers, engineers, and other data professionals to achieve common goals.

Join Rise to see the full answer
Can you give an example of a time you generated actionable insights from big data?

Provide a concrete example that outlines the problem you faced, the process of analyzing large datasets, the tools you used, and how your insights led to significant organizational changes or enhancements.

Join Rise to see the full answer
How do you prioritize your projects and tasks?

Talk about your approach to prioritization based on business impact, deadlines, and resource availability. Highlight any tools or methodologies you use, such as Agile or Kanban, to keep projects on track.

Join Rise to see the full answer
Describe a challenging data problem you solved in the past.

Share a specific challenge, detailing the steps taken to analyze and address the problem. Discuss the tools and analytical techniques you employed, and highlight the positive impact your work had on the team or organization.

Join Rise to see the full answer
How do you stay updated with the latest data science trends and technologies?

It's important to convey your commitment to professional growth by mentioning the blogs you read, podcasts you listen to, online courses you take, and any conferences you attend regularly to stay abreast of new developments in the data science field.

Join Rise to see the full answer
What motivates you as a data scientist?

Share your passion for data science and the difference it can make in addressing real-world problems. Mention what excites you about creating new models or analyzing complex datasets and how this drives your ongoing professional journey.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Visa Remote Foster City, CA
Posted 2 days ago

Join Visa as a Sr. Accounting Analyst to drive efficiencies in accounting operations and contribute to their North America Controllership team.

Photo of the Rise User
Visa Remote Foster City, California, United States
Posted 2 days ago

Join Visa as a VIK Finance Operations Director to lead financial initiatives and enhance operations within a global payments leader.

Photo of the Rise User
Volto Hybrid Austin, TX
Posted 3 days ago

We are seeking a detail-oriented GIS Editor to enhance our mapping data processes while working directly with clients in Austin, TX.

Photo of the Rise User
Optimiza Remote No location specified
Posted 3 days ago

Join Optimiza as a Data Warehouse Modeler to enhance our data architecture for impactful insights.

Photo of the Rise User
Posted 5 days ago

Join Rooms To Go as a Data Integration Developer, where you will enhance our data integration capabilities for our digital marketing efforts.

Photo of the Rise User
Dun & Bradstreet Hybrid Jacksonville - Florida - United States
Posted 11 days ago

Dun & Bradstreet is looking for a Data Operations Analyst to handle and improve their education data sets through analysis and collaboration.

Loma Linda Hybrid Loma Linda, California, United States
Posted 11 days ago

Seeking a skilled Manager-Data Services to oversee a team providing critical data insights and reporting services.

Posted 4 days ago

Join a fast-growing eCommerce company as a Product Data Coordinator, focusing on managing automotive product data efficiently.

Photo of the Rise User
Posted 4 days ago

Join Leidos as a SIGINT Data Processing Technician and play a crucial role in enhancing mission operations through expert data processing and analysis.

Posted 5 days ago

Join Fusion Consulting as a Business Intelligence Engineer, where your expertise in data solutions will impact transformative consulting in the Life Sciences sector.

Photo of the Rise User
Inclusive & Diverse
Empathetic
Collaboration over Competition
Mission Driven
Social Impact Driven
Diversity of Opinions
Growth & Learning
Photo of the Rise User
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
Company Retreats
Dental Insurance
Life insurance
Health Savings Account (HSA)
Photo of the Rise User
Posted 8 months ago
Mission Driven
Collaboration over Competition
Inclusive & Diverse
Growth & Learning
Maternity Leave
Paternity Leave
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Paid Time-Off

Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

12083 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 2, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!
LATEST ACTIVITY
Photo of the Rise User
1000+ people applied to Data Entry Clerk Typing at Talentify.io
Photo of the Rise User
Someone from OH, Marysville just viewed Security Specialist at Anduril Industries
Photo of the Rise User
Someone from OH, Cincinnati just viewed Learning Content Designer at QuantHub
Photo of the Rise User
Someone from OH, Tallmadge just viewed Manufacturing and Process Engineer at CVRx
Q
Someone from OH, Columbus just viewed Part-Time Medical Assistant at QualDerm Partners
Photo of the Rise User
Someone from OH, Cincinnati just viewed Summer 2025 Intern – Finance – Michigan at Stryker
Photo of the Rise User
Someone from OH, Cleveland just viewed Remote Customer Service Representative at Conduent
Photo of the Rise User
Someone from OH, Cleveland just viewed Customer Support Team Lead (6-month Contract) at Jane App