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 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.
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 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 presentation
An 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: 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.
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 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.
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 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 presentation
An 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: 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.