Data Scientist - Featurespace

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 within the Professional Services organization, 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 behaviors 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 challenge

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 datasets
• Generating integral work products from project kickoff through to live deployment
• Developing statistical models and algorithms for integration within Featurespace products
• End-to-end processing and modelling of large customer data sets
• Producing 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 modelling
• Evaluating and improving analytical results on live systems
• Developing an understanding of industry data structures and processes
• Working with engineering/development teams to support and enhance the analytical infrastructure
• Testing analytical models and their integration within the ARIC platform
• Providing input into future data science strategy and product development
• Building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data.

Skills and Experience

Must haves

• Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experience
• Experience in applying practical machine learning algorithms to real-world data
• Experience in implementing statistical models and analytical algorithms in software
• Experience using Python, Java, R or another major programming language for data analysis, machine learning or algorithm development
• Technical and analytical skills with the ability to pick up new technologies and concepts quickly
• Problem solving skills (especially in data-centric applications)
• Strong, clear, concise written and verbal communication skills
• Ability to manage and prioritise personal workload
• Practical experience of the handling and mining of large, diverse, data sets
• Constructive 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 essential
• Experience working in a Linux command line environment
• Experience using SQL to analyse data
• Experience 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 problems
• An ability to contribute to team-wide improvements while maintaining focus on personal achievement and responsibilities
• A passion to learn new skills and technologies
• Attention to grammatical detail, layout and pre