Data Science Manager jobs in District of Columbia

Data Science Manager manages teams tasked with identifying trends, patterns, and anomalies found in big data sets and used to develop insights by performing extensive data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. Uses extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools. Additionally, Data Science Manager typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to senior management. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes. (Copyright 2024 Salary.com)

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Senior Manager, Data Science
  • Visa
  • Washington, DC FULL_TIME
  • Company Description

    Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

    Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

    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.

    Essential Functions

    • Lead data science engagements supporting Regional and Community issuers, including project oversight, coaching and professional development
    • Manage 3 to 5 projects at a time from conception to completion utilizing a team of 5 to 7 experienced professionals
    • Strong analytical skills, with demonstrated intellectual and analytical rigor and ability to work with large data sets to synthesize key impacts for clients.
    • Develop propensity, segmentation and other predictive models to drive business impact
    • Proactively engage with VCA’s Regional and Community client leads in regular strategic & planning discussions, cultivate and manage a pipeline of work with regional and community clients
    • Develop frameworks, approaches, solutions and recommendations that effectively and efficiently address the most impactful opportunities and challenges.
    • Partner with peers in other functional areas (e.g., marketing ,analytics, risk, innovation) and across global regional teams to execute projects in ways that leverage the breadth and depth of Visa’s resources
    • Produce insights and analyses to improve R&C client’s performance, drive understanding of client issues and provide strategic guidance for client priorities across the payment P&L
    • Executive Presence including excellent communication and presentation skills, written and verbal and ability to communicate at all
      levels within large organizations.
    • Demonstrated leadership, managerial and collaboration capabilities, particularly with those who are not direct reports as may be found in a matrixed organization
    • Contribute to the Global Data Science (GDS) community through team engagement activities like recruiting, Data engineering coordination’s, study group, etc.  

    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

    • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD


    Preferred Qualifications

    • 9 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
    • 3 years of working in payments industry (bank, credit union, Fintech) or management-consulting firm
    • 5 years of experience applying data science to solve problems for issuers, acquirers or processors
    • Experience leading teams of data scientists in machine learning projects
    • Recent experience working with and presenting to issuers, acquirers or processors
    • Expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark
    • Expertise with one or more data analytics/programming tools such as R/Python
    • Expertise in the application of predictive modeling and machine learning techniques
    • Excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations
    • Strong analytical skills, with demonstrated intellectual and analytical rigor and ability to work with large data sets to synthesize key impacts for stakeholders
    • Experience in managing teams to execute multiple projects in parallel
    • Demonstrated knowledge of software development, MLOps or data product development
    • Excellent communication, story-telling and presentation skills.

    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 145,400.00 to 210,850.00 USD per year, 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.

  • 1 Month Ago

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Transition Manager-Data Center Services
  • NTT DATA, Inc.
  • Washington, DC FULL_TIME
  • Req ID:252091NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking orga...
  • 7 Days Ago

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Data Science
  • Peraton
  • Washington, DC FULL_TIME
  • Responsibilities Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the...
  • 2 Months Ago

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Senior Technical Support Manager
  • Pantheon Data
  • Washington, DC FULL_TIME
  • Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply...
  • 7 Days Ago

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Technical Support Manager
  • Pantheon Data
  • Washington, DC FULL_TIME
  • Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply...
  • 8 Days Ago

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ISTM Service Delivery Manager
  • NTT DATA, Inc.
  • Washington, DC FULL_TIME
  • Req ID:252097NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking orga...
  • 29 Days Ago

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Data Science Manager
  • Plymouth Rock Assurance
  • Woodbridge, NJ
  • The Data Science Manager will manage a team of statisticians in research and development of new predictive models and ne...
  • 6/1/2024 12:00:00 AM

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Data Science Manager
  • Plymouth Rock Assurance
  • Charlotte, NC
  • *Please note: This role will need to be physically located in our Woodbridge, NJ location. The Data Science Manager will...
  • 6/1/2024 12:00:00 AM

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Data Science Manager
  • Plymouth Rock Assurance
  • Cleveland, OH
  • *Please note: This role will need to be physically located in our Woodbridge, NJ location. The Data Science Manager will...
  • 6/1/2024 12:00:00 AM

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Data Science Manager
  • City of New York
  • New York, NY
  • Job Description Hours: Full-Time Position 35 Hours Work Location: 30-30 Thomson Avenue, LIC, NY 11101 The NYC Department...
  • 6/1/2024 12:00:00 AM

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Data Science Manager
  • Abbott
  • Alameda, CA
  • Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-chan...
  • 6/1/2024 12:00:00 AM

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Data Science Manager
  • bioMerieux Inc.
  • Chicago, IL
  • A world leader in the field of in vitro diagnostics for 60 years, bioMerieux provides diagnostic solutions intended for ...
  • 5/29/2024 12:00:00 AM

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Data science, Manager
  • Facebook
  • Burlingame, CA
  • Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. ...
  • 5/29/2024 12:00:00 AM

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Data Science Manager
  • Idaho State Job Bank
  • Boise, ID
  • Data Science Manager at Meta in Boise, Idaho, United States Job Description Summary: Meta Platforms, Inc. (Meta), former...
  • 5/29/2024 12:00:00 AM

Washington, D.C. is located in the mid-Atlantic region of the U.S. East Coast. Due to the District of Columbia retrocession, the city has a total area of 68.34 square miles (177.0 km2), of which 61.05 square miles (158.1 km2) is land and 7.29 square miles (18.9 km2) (10.67%) is water. The District is bordered by Montgomery County, Maryland to the northwest; Prince George's County, Maryland to the east; Arlington County, Virginia to the south; and Alexandria, Virginia to the west. The south bank of the Potomac River forms the District's border with Virginia and has two major tributaries: the An...
Source: Wikipedia (as of 04/11/2019). Read more from Wikipedia
Income Estimation for Data Science Manager jobs
$174,326 to $223,514

Data Science Manager in Santa Barbara, CA
They work closely with stakeholders across the business to ensure that our data driven insights do not collect dust.
February 02, 2020
Data Science Manager in Tucson, AZ
�         Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts.
February 11, 2020
Data Science Manager in Pittsfield, MA
�         Participate in client discussions, interact with CxOs at client organization to articulate the value of data science approaches, different service offerings and guide them on implementation of the same.
February 24, 2020