Atlanta or Remote, US

Data Scientist

The Opportunity

Advanced Data Science is the foundation of our unique technological approach at Featurespace and is the driving force behind our ongoing business success. To maintain our lead at the cutting-edge of analytics, Featurespace is looking for an Data Scientist who will contribute to the successful application of our technology and help to grow our business.

As part of Featurespace’s Data Science team, you will be building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and eCommerce transaction data.

If you have an acute analytical mind, and would enjoy applying your energies and skills to real-world commercial problems to deliver value to customers, then we would like to hear from you.

Whilst our office is in Atlanta, we are open to remote workers based in the US for this role, but ideally you will be able to work EST time zone hours.

Day to Day

  • 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 
Apply for job
Milly Farouki1269

Retraining Deep Neural Networks for Real-Time Transaction Processing

Milly is a Senior Data Scientist at Featurespace. She joined in August 2019.

Find out more

About you

Must haves:

  • Degree-level qualification in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering – or equivalent experience
  • Experience of applying practical machine learning algorithms to real-world data
  • Experience in implementing statistical models and analytical algorithms in software
  • Practical experience in the handling and mining of large, diverse, data sets
  • Problem solving skills (especially in data-centric applications)
  • Strong, clear, concise written and verbal communication skills
  • Technical and analytical skills with the ability to pick up new technologies and concepts quickly
  • Ability to manage and prioritise personal workload
  • Constructive participation in system architecture/design discussions from an analytical perspective

Great to haves:

  • A PhD or other postgraduate qualification
  • Experience working in a Linux command line environment 
  • Experience using SQL to analyse data  
  • Experience with version control software and workflows (e.g. git) 

Equal Opportunities

Here at Featurespace we are committed to being a place of equality, inclusion and respect to provide a safe environment for you to bring your authentic self to work. We know that we gain as much strength from our differences as we do our similarities. We value diversity and are dedicated to listening and learning from each other to build and maintain a positive and productive culture. We appreciate this will be an ever-evolving focus for the business to ensure everyone feels supported and has a sense of belonging.

How to apply

If you think you’re a good fit for the role above, we would love to hear from you.

Fill out the short application form, upload your CV and a tailored cover letter,and one of the team will get back to you.

Please note:

Applicants must be currently authorized to work in the United States for any employer

No sponsorship is available for this position

If you have any questions or queries regarding this role, or life at Featurespace, please contact [email protected]

Featurespace Job Application Privacy Notice

Featurespace Ltd., is committed to comply with the General Data Protection Legislation and any implementing legislation (the “Data Protection Legislation”) and will process your Personal Data in accordance with the Data Protection Legislation and information security legislation. Any capitalised terms used in this Privacy Notice shall be given the same definition as in the Data Protection Legislation.

This Privacy Notice sets out the basis on which Featurespace Ltd will process Personal Data relating to job applicants.

The Data Controller is Featurespace Ltd., 140 Cambridge Science Park, Milton Road, Cambridge, CB4 0GF, United Kingdom.

Data refers to both Personal Data and Special Categories of Data. Your job application and the Personal Data held within it will be processed to assess your viability for the stated role. We may also process any information that you provide about your health, for the sole purpose of assessing whether any adjustments may need to be made to the recruitment process to accommodate you . If your application is unsuccessful, Featurespace will retain your Data for 24 months after the end of the recruitment process. Your Personal Data is processed in accordance with our legitimate interests of making sound recruitment decisions. You are under no obligation to provide us with your Personal Data. However without this, we cannot assess your job application. We will only process information about your health for the purpose of making reasonable adjustments to the recruitment process (if applicable), in accordance with our legal obligations. You have the following rights in relation to the processing of your Data: The right to be informed about how your Data is processed. You have the right to object to the processing of your Data based on our legitimate interests as outlined above. The right of access, to your Data and supplementary information relating to our use of your Data. In certain circumstances, we reserve the right to charge you for exercising this right. The right to rectification, if your Data is inaccurate or incomplete. In certain circumstances, the right to erasure, request the deletion of, or removal of, your Data. In certain circumstances, the right to restrict processing, block any further processing of your Data. We shall respond to any request made by you without delay and in any case within a month of your request. The right to complain to the Information Commissioner’s Office if you believe that your data protection/privacy rights have been breached. Your application will be submitted and stored on an application database (Greenhouse). Access to your Data on Greenhouse is limited to the relevant persons for your application- our internal recruiters, the hiring manager and interviewer(s). Your CV may be printed and shown to consulted decision makers, any physical copies will be securely and confidentially destroyed after a decision has been made on your application. Your CV is transferred to a third country, outside of the EEA, when it is processed by Greenhouse. Greenhouse meet the technical and organisational data security measures outlined in the GDPR Article 32, and are SOC2 Type II certified. We do not envisage that any decision will be taken about your application using automated means.

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