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Sr. Data Scientist - Marketing Analytics

Visa
United Statesfull_timeVerifiedPosted 9 Jul 2024
💰 $112,500/yr

About the role

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

Job Description

Visa is seeking a team member based in Miami who will play a pivotal role in developing and implementing campaign measurement methodologies and processes for both client and core Visa LAC marketing campaigns. The role encompasses to measure the impact of these campaigns. The role involves hands-on activities such as the development and execution of campaign measurement methodologies and processes, using either traditional or advanced statistical and automation approaches. It also involves creating documentation, as well as aligning and negotiating with internal stakeholders.

Specific responsibilities include:

  • Develop and deploy new analytical modeling and techniques within the organization

  • Utilize Visa's data and analytic capabilities, technology, and industry expertise measure the impact of different marketing strategies.

  • Use data and apply statistical techniques to interpret data and generate insights that influence marketing strategy.

  • Ensure data accuracy and integrity by implementing quality control measures

  • Conceptualize and delivery the standardization of campaign measurement methodology

  • Develop and implement  automated  data pipelines to measure campaigns

  • Foster a data-driven culture within the marketing team and the wider organization.

  • Connect insights and findings with the business objectives: understand business issues, ground into data based insights and ensure application into the execution.

  • Interact with internal and external stakeholders for the strategic definition of analysis and initiatives.

Incumbents applying for the role must be motivated, data-driven and analytic individuals who will deliver strategic thought leadership, problem solving and high impact solutions to support the business growth and performance. Candidates must have solid experience

 

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 Bachelor’s 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

  • +5 years of relevant industry experience in in Analytics and CRM, including the full campaign execution cycle, such as: Journeys automation, Campaign Datamart structure, Campaign segmentation, result measurement methodologies
  • BA/BS required, MBA or other relevant Master degree preferred (eg: Statistics, Computer Science, and Engineering).
  • 5+ years of experience in Banking/ Payment, Retailers or Service industry

Required Skills

  • Experience with data visualization and business intelligence tools like Tableau, PowerBI or Excel.
  • Proven Hands-on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods (e.g. K-means), Classification methods (Decision Trees/Random Forest), among others.
  • Previous experience on studies on consumer behavior, marketing campaign targeting and effectiveness and CLTV
  • Hands-on experience extracting and manipulating large datasets (Big Data) using standard tools such as Hadoop (Hive), Spark, Python, SQL, etc.
  • Hands-on skills in cleaning, manipulating, analyzing, visualizing and modeling large data sets
  • Transform data/ analysis to executive business language
  • Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa
  • Excellent project management and organizational and presentational skills.
  • Self-motivated, results oriented individual with the ability to handle numerous projects concurrently
  • Fluency in English/ Spanish (spoken/written), Portugues is a plus

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Company

Visa

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