Data Scientist Featurespace
Data Scientist Featurespace
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Salary Not Disclosed
1 Vacancy
Job Description
At Featurespace we strive to be the worlds 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 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 :
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 Bachelors 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 110000.00 to 155350.00 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 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
