Senior Data Scientist

3 days ago

Cambridge, Cambridgeshire, United Kingdom Featurespace Full time

About the Role

We are seeking a highly skilled Senior Data Scientist to join our team at Featurespace. As a key member of our Data and Analytics team, you will play a crucial role in helping 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 e-commerce transaction data.

Key Responsibilities

  • Manage the delivery of advanced statistical models and algorithms that infer and predict individual customer behaviors in real-time, based on retail, online, and e-commerce transaction data.
  • Coach and support junior team members through technical leadership.
  • Contribute to improvements in data science products and processes by collaborating with Engineering, Product, and Research teams.

Requirements

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

Desirable Skills

  • 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.

About Featurespace

Here at Featurespace, we are committed to being a place of equality, inclusion, and respect, providing 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.

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