Associate Data Scientist

Posted 3 Days Ago
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Shanghai, Shanghai Municipality, Shanghai
In-Office
Entry level
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
The Associate Data Scientist collaborates with teams to design and deliver data analytics projects, utilizing quantitative techniques to solve business problems.
Summary Generated by Built In
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

Team Summary

Data Science team is a key part of decision management engine at Visa, this is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major FIs and merchants in Asia Pacific. Analytics & Data Products is looking for a hands-on person that earns trust and respect of the team. The person must be results oriented, highly organized, and must, must be focused on delivering innovative analytics work.

What a Associate Data Scientist does at Visa:

The Associate Data Scientist will be working together with other members in the team to design and deliver projects with the appropriate analytic methodologies and techniques to solve client’s business objectives. The team closely collaborates with business stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to clients. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of data analytics and cutting-edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation. These analyses are foundational to corroborate or refute stated hypotheses and are incorporated in the final client-facing solutions. The team is responsible for continuously creating and protecting analytic IP resulting from project learning.

As a Data Scientist you will be responsible for developing Data Analytics solutions to solve business problems. Here, you will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. We have a highly collaborative process and you are required to work across multiple teams and functions for developing cutting edge, creative and advanced analytic solutions and processes.

Why this is important to Visa

The Data Scientist is a key member of the Consulting and Analytics team.  DS is key driver to Visa business.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Responsibilities

-Participating analytic projects along with rest of the stakeholders in both internal and external
-Collaborating with the different teams to fully understand business requirements and desired business outcomes
-Executing on the analytic plan with appropriate data mining and analytic techniques
-Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
-Ensuring project delivery within timelines and budget requirements
-Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
-Providing subject matter expertise and quality assurance of complex data driven analytic projects

Qualifications

Basic Qualifications

Technical
-Hands on experience with one or more data analytics/programming tools such as Python/SQL
-Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors,
-Demonstrated ability to innovate solutions to solve business problems
Business
-Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
-Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
-Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
-Proficient in both English and Chinese (Mandarin) 

Additional Information

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.

Top Skills

Python
SQL
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The Company
HQ: San Francisco, CA
26,500 Employees
Year Founded: 1958

What We Do

At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.

We are looking for people like YOU. Come join a people-centric company where you can invest in your career.

For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.

Why Work With Us

Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.

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