Senior Data Scientist

hace 6 meses

Bogota, Colombia Visa A tiempo completo

**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.

Visa Inc. is a global payments technology company that connects consumers, businesses, financial institutions and governments in more than 200 countries and territories, enabling them to use digital currency instead of cash and checks.

Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk, data science and economics consulting, with decades of experience in the payments industry.

**Our VCA teams offers**:
Consulting services customized to the needs of Visa client’s business objectives and strategy.

Business and economic insights and perspectives that impact business and investment decisions.

Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations.

Proven data-driven marketing strategies to increase clients’ ROI.

Proven data-driven decision making to help Visa client´s to achieve their goals.

**Responsibilities**
- Work with large volumes of data, extract and manipulate large datasets using standard tools such as Hadoop Ecosystem, Python, PySpark, Presto, SQL, etc.
- Hands-on skills in cleaning, manipulating, analyzing and visualizing large data sets.
- Data Cleansing/Wrangling - This involve parsing and aggregating messy, incomplete, and unstructured data sources to produce data sets that can be used in analytics/predictive modeling.
- Develop and validate advanced data mining tools, algorithms, and other capabilities to solve business problem.
- Enhance and optimize codes that scale critical business processes.
- Develop and validate advanced ML algorithms, and other capabilities to solve business problem. Experience doing ML using R, Python (scikit-learn, etc.) or other similar software.
- Find opportunities to create and automate repeatable analysis or build streamlined solutions for business consultant and Visa’s clients.
- Support the implementation of complex models and data pipelines on large datasets.
- Develop and deploy analytical models and techniques within the organization and VCA’s clients including issuers, acquirers and merchants.
- Solid knowledge in Designing and developing dashboards using Tableau preferably.
- Utilize Visa's data and analytical capabilities, technology, and industry expertise to develop, standardize and implement the consulting analytical solutions.
- Identify relevant market trends based on a deep analysis of payment industry Information, interacting with several internal and external stakeholders for the strategic definition of analysis and initiatives.
- Continuously develop and present innovative ideas to improve current business practices within Visa.
- Communicate complex concepts and the results of the analysis in a clear and effective manner.
- Support transfer technical knowledge to facilitate implementation of the business solution provided.
- Document all projects developed and write other documentation as needed. Identify and share best practices for key topics.
- Good communication skills, problem-solving abilities, and attention to details are essential.
- 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**
- BA/BS required, master’s degree preferred (e.g.: Statistics, mathematics, Computer Science, Engineering or related fields).

Preferred qualifications:

- 6+ years of overall experience with a preferred minimum of 2 in Banking or Payments Industry.
- Ability to come up with practical algorithms and write high quality code quickly for analyzing gigabyte to terabyte-scale data.
- Experience in retail banking, payments, financial services, and/or technology industries.
- Proven Hands-on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods, Classification methods (Decision Trees/Random Forest), among others.
- Experience using distributed computing technologies, including Hadoop (MapReduce, Pig and Hive) and Spark to write data analytic processing jobs both in batch and streaming against structured and unstructured

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