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Senior Manager Data Science

Company: Visa
Location: Arlington
Posted on: June 20, 2022

Job Description:

Company DescriptionVisa 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 DescriptionTo 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.Essential FunctionsLead a team of analysts within North American Data Science, including project oversight, coaching and professional developmentWork with internal/external clients to understand their strategic business questions and lead project scoping/design to answer those questions by leveraging Visa's dataDevelop propensity, segmentation and other predictive models to drive business impactProactively engage with clients and Visa client leadership in regular strategic & planning discussions, cultivate and manage a pipeline of work with clientsDevelop frameworks, approaches, solutions and recommendations that effectively and efficiently address the most impactful opportunities and challenges.Produce insights and analyses to improve client performance, drive understanding of client issues and provide strategic guidance for client priorities across the payment P&LIdeal candidate will have payments and management consulting experience.Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governanceProvide 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 techniquesOrganize and manage multiple data science projects with diverse cross-functional stakeholdersAbility to influence and negotiate with senior executivesThis 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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.QualificationsBasic Qualifications--- 8 years of relevant work experience with a Bachelor's Degree or at least 5 years of relevant work experience with an Advanced degree (e.g. Master's, MBA, JD, MD) or 2 years of work experience with a PhD degree--- Experience leading teams of at least 2 data scientists in machine learning projects--- Hands-on expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark --- Hands-on expertise with one or more data analytics/programming tools such as Python --- Hands-on expertise in the application of predictive modeling and machine learning techniquesPreferred Qualifications--- 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD--- Recent analytics experience with travel merchants (hotels, airlines, car rentals) and other retail merchants strongly preferred--- 3+ years of working in payments industry (bank, credit union, Fintech) or management-consulting firm--- Demonstrated knowledge of software development, MLOps or data product development--- Excellent communication, story-telling and presentation skills.--- Competence in Excel, PowerPoint and TableauAdditional InformationVisa has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.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.SummaryType: Full-timeFunction: Other

Keywords: Visa, Arlington , Senior Manager Data Science, Executive , Arlington, Virginia

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