Visa is hiring a

Staff Data Scientist

Foster City, United States
Full-Time

Visa U.S.A. Inc, a Visa Inc. company, needs a Staff Data Scientist (multiple openings) in Foster City, CA to:

 

  • Build and maintain major consumer behavior models to solve business problem for clients and issuers.
  • Collaborate with risk product stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to customers.
  • Execute model validation and analyze model performance in terms of strength and stability.
  • Test newly developed models by regular statistical standards and procedures.
  • Compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models.
  • Propel analytic product development via conducting statistical analyses on various data sources and add values to products by being innovative and applying the analysis.
  • Define financial and analytic metrics to measure development and production outcomes and produce performance reports.
  • Find opportunities to create and automate repeatable analyses or build self-service tools for business users.
  • Support sales and marketing efforts with sound statistical and financial analysis, execute ad-hoc analyses to meet the fast-changing market demands.
  • Conduct transaction data analyses with Hadoop/Cloud and big data technologies for internal and external product owners and
  • develop deeper insights into the products using advanced statistical methods.
  • Ensure project delivery within timelines and meet critical business needs.
  • Work on cross functional teams and collaborate with internal and external stakeholders.
  • Promote big data innovations and analytic education throughout the Visa organization.
  • Work on ad-hoc data science/analytical projects.
  • Position reports to the Foster City, CA office and may allow for partial telecommuting.

Basic Qualifications:

  • Employer will accept a Master's degree in Statistics, Mathematics, Economics, Engineering, or related field, and 3 years of experience in the job offered or in a data scientist or data analyst-related occupation.

 

Position requires experience in the following: 

  • Three years of experience in developing statistical predictive models;
  • Hadoop and related query engine, such as Hive, Pyspark or Scala;
  • Scripting in Python, Spark, and Unix or Linux;
  • Machine Learning and Artificial Intelligence (AI) procedures;
  • Using SAS, SQL, or Hive for extracting and aggregating data;
  • Using predictive, classification, machine learning and alternate analytic algorithms for modeling and segmentation

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 $158,642.00 USD to $248,600.00 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.

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