Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Developing advanced decision-making systems for real-time personalization and customer engagement with an accent on machine learning, causal inference, and optimization methodologies. Focus on crafting impactful models that enhance customer interactions and foster business success.

Location: Remote (Must be based in the USA)

Salary: £155,000

Company

A distinguished name in the retail sector, renowned for their expertise in sporting and recreational equipment.

What you will do

• Lead the development and management of real-time decision engines that focus on identity resolution and customer intent predictions.
• Construct hybrid models that seamlessly incorporate machine learning, sequence modeling, causal inference, and optimization methodologies.
• Implement low-latency inference systems capable of effective operation at enterprise scale.
• Design and conduct experiments such as A/B tests and causal analyses to measure model effectiveness and impact.
• Collaborate with product, engineering, and business teams to transform insights from customer journeys into practical data science solutions.
• Ensure models are production-ready with well-established monitoring, retraining, and deployment protocols.

Requirements

• At least 4 years of demonstrated experience in data science, machine learning, or artificial intelligence.
• A proven track record in delivering production-level machine learning systems.
• Strong proficiency in Python and familiarity with cutting-edge machine learning frameworks.
• Experience in developing real-time, session-based, or recommendation systems.
• Acquainted with distributed systems, APIs, and key cloud platforms like AWS, Azure, and GCP.
• Excellent communication skills, with the ability to simplify complex technical concepts for non-technical stakeholders.

Culture & Benefits

• Competitive salary potential.
• Flexible working conditions to promote a healthy work-life balance.
• The opportunity to engage with innovative technology and projects that are shaping the retail industry.
• A comprehensive benefits package inclusive of healthcare, retirement, and professional development opportunities.