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  • Location

    Atlanta, Georgia

  • Job title:

    Lead Data Scientist

  • Sector:

    Technology

  • Job type:

    Direct Hire

  • Job ref:

    5995

Lead Data Scientist

 

Overview

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 outstanding Lead Data Scientist who will contribute to the successful application of our technology and help to grow our business. You will be responsible for a team of Data Scientists, acting as both a coach and mentor.

 

In this role, you will manage complex deliveries of Featurespace machine learning models into customer environments, whilst also managing client teams and helping to accelerate critical work. You will also be in charge of the improvement of internal processes, both operational and technical, and will be the senior point of knowledge and escalation of all technical questions from the Atlanta office

 

Requirements

  • Ph.D. or other postgraduate level qualification with good mathematical background and knowledge of statistics.

  • Subject matter expertise in the banking and payments industry.

  • Experience leading the deployment of machine learning models into high throughput, real-time prediction contexts.

 

We’d love to see

  • 3+ years commercial experience implementing statistical models and analytical algorithms in software.

  • Experience managing a team of highly talented professionals.

  • Practical experience of the handling and mining of large, diverse, data sets.

  • Ability to understand complex systems quickly.

  • Problem solving skills (especially in data-centric applications).

  • Constructive participation in system architecture/design discussions from an analytical and business impact perspective.

  • Ability to manage and prioritise personal workload.

  • Technical and analytical skills with the ability to pick up new technologies and concepts quickly.

  • Experience in model governance, fair credit and fair lending compliance.

  • Experience of the modern software dev lifecycle: version control, unit testing, CI/CD.

 

Responsibilities 

  • Developing and nurturing a team of Data Scientists

  • Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling.

  • Providing input into future data science strategy and product development.

  • Working closely with clients to ensure the best possible system

  • Working with development teams to support and enhance the analytical infrastructure.

  • Working with QA teams to advise on effective analytical testing.

  • Evaluating and improving the analytical results on live systems.

  • Being an expert of industry data structures and processes.

  • Managing team members on projects from the smallest to the very largest customer deployments.

  • Develop expertise in the ARIC system architecture.

  • Improving team processes to increase efficiency and quality of output

 

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A human approach to staffing.

Our Company is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of sex, gender, race, religion, color, national origin, physical or mental disability, genetic information, marital status, age, sexual orientation, gender identity, military service, veteran status, or any other status protected by federal, state, or local laws. The Company is dedicated to the fulfillment of this policy in regard to all aspects of employment, including but not limited to recruiting, hiring, placement, transfer, training, promotion, rates of pay, and other compensation, termination, and all other terms, conditions, and privileges of employment.