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

At Featurespace, we strive to be the world’s best software company at protecting our clients and their customers from fraud attacks. We do that with personality, heart and professionalism, cultivating an innovative, fun and positive team atmosphere where everybody can contribute to solving our clients’ problems in new, innovative ways. We are always seeking to be the best at what we do and make our customers smile.

The Role

In your role as Data Scientist you will help us achieve our goals and deliver success on behalf of our customers by:

Building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data

Responsibilities

We hire people with a willingness to adapt to a variable role, so along with the key responsibilities below, we ask for ownership of any other duties as required.

Applying analytical theory to diverse real-world problems on large and dynamic datasetsGenerating integral work products from project kickoff through to live deploymentDeveloping statistical models and algorithms for integration within Featurespace productsEnd-to-end processing and modelling of large customer data setsProducing materials to feedback analytic output to customers (reports, presentations, visualizations)Working collaboratively with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modellingEvaluating and improving analytical results on live systemsDeveloping an understanding of industry data structures and processesWorking with engineering/development teams to support and enhance the analytical infrastructureTesting analytical models and their integration within the ARIC platformProviding input into future data science strategy and product developmentBuilding advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data.

This is a customer-facing role that requires close collaboration with clients to understand their data and challenges.

 

Skills and Experience

Must haves

Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experienceExperience in applying practical machine learning algorithms to real-world dataExperience in implementing statistical models and analytical algorithms in softwareExperience using Python, Java, R or another major programming language for data analysis, machine learning or algorithm developmentTechnical and analytical skills with the ability to pick up new technologies and concepts quicklyProblem solving skills (especially in data-centric applications)Strong, clear, concise written and verbal communication skillsAbility to manage and prioritise personal workloadPractical experience of the handling and mining of large, diverse, data setsConstructive participation in system architecture/design discussions from an analytical perspective

 

Great to haves

A Ph.D. or other postgraduate qualification would be an advantage but is not essentialExperience working in a Linux command line environmentExperience using SQL to analyse dataExperience with version control software and workflows (e.g. git)

 

Qualities

We value how we go about our work, just as much as what we do, and this is reflected in our values:

As a Data Scientist, you also need the following qualities:

 Enjoys working in a team of like-minded and intelligent people to solve complex problemsAn ability to contribute to team-wide improvements while maintaining focus on personal achievement and responsibilitiesA passion to learn new skills and technologiesAttention to grammatical detail, layout and presentationAn enthusiasm to work for one of the fastest growing financial crime prevention technologies in the world

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

Qualifications

Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

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 110,000.00 to 155,350.00 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.