Atlanta, US

Lead Data Scientist

The Opportunity

As a Lead Data Scientist, you will play a crucial role in ensuring success for our customers by leading a team delivering the analytical capabilities that are at the heart of our mission to make the world a safer place to transact.

At Featurespace, we produce state-of-the-art machine learning models and decision systems protecting banks, payment providers, and hundreds of millions of cardholders and accountholders from fraud and financial crime every day.

We do this by providing our customers with an analytics execution platform, ARIC, which responds in real-time to stop transaction and payment fraud in its tracks. The platform also enables our customers’ fraud and risk operations teams to review high-risk and suspicious activities identified by their analytics, orchestrate communication with their account and cardholders, and track closely the effectiveness of those analytics and operations.

Our US-based team is distributed across the country, for this role in particular as it is a lead position, you will ideally be comfortable coming into the Atlanta office around twice a week. If you’re interested in the role but require more flexibility, please either discuss with the Recruitment team directly or outline your constrains in a cover letter alongside your application.

Day to Day

It can be hard to know accurately what you’ll be doing day to day from a job description. That’s why we’re telling you exactly what your team does! There are three key tasks for the Analytics team:

  1. System integration: No analytics execution platform is better than its data integration or customer specific configuration! Our Analytics team work closely with the customer during the system integration to ensure high-quality data is integrated and that the ARIC system is correctly configured to meet the fraud detection demands on the customer.
  2. Analytics and risk strategy consultancy: No analytics execution platform supplied by high-quality, clean data is better than the specific analytics that it runs! Our team work extremely closely with customer fraud and risk strategy teams to ensure that the analytics that our systems run produce industry-leading fraud detection outcomes. We do this by supporting and teaching our customers to use our system effectively but also lending our experience from across the industry and querying data sent to the platform to further optimise the analytics.
  3. Data science: Featurespace’s machine learning models are one of the most attractive propositions to our customers! The final piece in the triad of team activities is the configuration of machine learning models from the rich datasets our customers possess.

You will lead a team working across these three tasks, helping deliver success on behalf of our customers by:

  • Line managing a team in Analytics, acting as both a leader able to spell out a strategic vision and a mentor who grows team members to realise that vision
  • Managing complex deliveries of real-time machine learning models and rules-based systems in a way that builds good relationships with key customer stakeholders
  • Providing consulting expertise to customers that addresses their challenges and demonstrates the value of what we offer
  • Dealing with large data sets and noisy information on complex projects and translating business requirements into well-defined and actionable tasks
  • Managing client teams, and helping to accelerate critical work, including by identifying risks and empowering team members to unblock work before challenges arise
  • Improving internal processes, both operational and technical, in a way that enables scalable work tracking and continual improvement in all responsibility areas, including recruitment, resourcing, and training
  • Be a senior point of knowledge and escalation of analytics related technical questions
DS team

Analytics & Data Science at Featurespace

Find out what it’s like to be part of the team!

About you

Must haves:

  • Good degree in a scientific or numerate discipline, e.g., Computer Science, Physics, Mathematics, Engineering, or equivalent experience
  • Excellent client facing skills, ability to communicate complex analytical concepts to a variety of audiences, especially in a data science context, including the application of practical machine learning algorithms to real-world data
  • Depth of experience in stakeholder management and managing customer expectations and common challenges
  • Ability to manage and prioritise changeable workload ensuring internal and external deadlines are met.
  • Experience working with customers to gather complex sets of requirements including analytical system design, data integration design, and model design
  • Knowledge of Python and familiarity with SQL
  • Knowledge of fundamental machine learning concepts (feature engineering, algorithms, model evaluation, model bias, etc.)

Great to haves:

  • Experience in deploying statistical models and analytical algorithms in industry
  • Experience with software engineering, version control, and the Unix command line
  • Practical experience of the handling and mining of large, diverse, data sets
  • Industry experience in financial services, fraud, and fraud strategy
  • Basic knowledge of event-driven systems and distributed computing for stateful systems
  • Experience managing and developing high performing individuals
  • Experience working with model governance bodies or awareness of the issues facing governance of machine learning models in production
  • Experience in requirements management, business analysis or consulting environment
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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 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, as 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.