We are on the lookout for a confident Senior Data Scientist to join our all-star team at Visa in Washington DC.
Growing your career as a Full Time Senior Data Scientist is an awesome opportunity to develop exceptional skills.
If you are strong in people management, project management and have the right initiative for the job, then apply for the position of Senior Data Scientist at Visa today!
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone. Job Description To ensure that Visa's payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa's rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa's business.
ADDITIONAL INFORMATION Essential Functions Provide technical leadership in a team that generates business insights based on big data, identify actionable recommendations, and communicate the findings to clients
Brainstorm innovative ways to use our unique data to answer business problems
Communicate with clients to understand the challenges they face and convince them with data
Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
Develop visualizations to make your complex analyses accessible to a broad audience
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions
Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes
Partner with a variety of Visa teams to provide comprehensive solutions
Synthesize ideas/proposals in writing and engage in productive discussions with external or internal stakeholders
Provide guidance in modern analytic techniques and business applications to unlock the value of Visa's unique data set, in keeping with market trends, client needs and emerging techniques
Organize and manage multiple data science projects with diverse cross-functional stakeholders
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.
Qualifications
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
- 4+ years' experience in data-based decision-making or quantitative analysis
- Master's degree in Statistics, Operations Research, Applied Mathematics,
Economics, Data Science, Business Analytics, Computer Science, or a related
technical field
- Extracting and aggregating data from large data sets using SQL/Hive or Spark
- Analyzing large data sets using programming languages such as Python, R,
SQL and/or Spark
- Generating and visualizing data-based insights in software such as Tableau
- Communicating data-driven insights and conveying actionable
recommendations
- Managing and organizing work in Office software such as Word, Excel,
PowerPoint and/or Teams
- Building predictive and descriptive statistical models using machine learning
tool kit, Jupyter notebooks, Python, and/or SAS
- Data mining and statistical modeling (e.g., regression modeling, clustering
techniques, decision trees, etc.)
- Previous exposure to financial services, credit cards or merchant analytics is a
plus, but not required
- Managing analytics/data science projects from scoping to delivery, and
engaging with internal/external stakeholders. Additional Information Work 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 126,000.00 to 163,800.00 USD, 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. Benefits of working as a Senior Data Scientist in Washington DC:
? Learning opportunities
? Company offers career progression opportunities
? Advantageous package
