Data Scientist

Hyperion360 builds world-class technology teams for multibillion dollar Fortune 500 companies and top startups—many of which have raised or sold for hundreds of millions of dollars based on the technology those teams developed. If you are interested in hiring vetted remote software engineers or other technical talent, contact us. We pre-screen candidates with a rigorous interview and onboarding process that tests for key skills like communication and technical knowledge to help you recruit and hire top quality software engineers and other technical talent from around the world.

The Role

Summary

A leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. They’ve defined the online treasure hunt through their daily sale events allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. The Data Science and AI Team gives you the freedom to use the latest cutting-edge techniques and technologies in their experimentation to move the data science and personalization efforts forward with the goal of increasing the magic of the 50M members' online shopping experience and the annual revenues.

You will join the industry-leading Data Science Team in Dublin, IRE. In this role, you will work with our seasoned data scientists and engineers to build innovative AI solutions that power our profitable, off-price, luxury e-commerce business.

What you’ll do:

• Work on challenging AI/ML projects like NLP, computer vision, recommender systems, and advanced statistical prediction models to drive revenue and enhance the personalized shopping experiences of our 50M members.
• Develop innovative solutions to business problems leveraging both classic and cutting-edge AI/ML algorithms/frameworks.
• Build end-to-end large-scale batch and real-time data pipelines and scalable architectures and services to efficiently handle large amounts of data.
• Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud.
• Productionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production support.
• Be involved in the design and implementation of applications and tools based on AI (including GenAI) that will revolutionize the way that our software interacts with users.
• Identify opportunities for data science to increase the organization’s efficiency and lift our core business.
• Gain exposure to a wide range of business stakeholders and departments.
• Work in multi-functional agile teams to continuously experiment, iterate, and deliver on data-driven product objectives.
• Work closely with fellow engineers from other teams to design and develop cross-team data exchange microservices.

You will be responsible for:

• Developing and implementing recommendation systems using collaborative filtering, content-based filtering, and hybrid approaches.
• Designing personalized marketing campaigns and customized shopping experiences.
• Utilizing ML techniques for demand forecasting and customer segmentation.
• Improving in-store experiences with automated checkout systems and AI-powered virtual assistants.
• Enabling users to search for products using images.
• Analyzing customer reviews and feedback using natural language processing.
• Enhancing search functionality on e-commerce platforms.
• Optimizing stock levels and supply chain efficiency through predictive analytics.
• Implementing AI-driven chatbots and virtual assistants for customer inquiries and support.
• Automating product classification and tagging.
• Creating personalized advertising strategies based on customer data.
• Personalizing product arrangement and display on e-commerce platforms.
• Predicting long-term customer value to inform marketing strategies.
• Analyzing reasons for cart abandonment and developing strategies to recover sales.
• Identifying emerging trends in purchasing behavior through data analysis.

Ideal Profile

• Advanced degree in Computer Science, Data Science, Engineering, or a related field.
• 4+ Years of relevant experience in AI/ML.
• Experience working in an agile environment.
• Expertise in machine learning, feature engineering, and software development.
• Experience with statistical modeling and large-scale data analytics.
• Experience writing clean and efficient code in Python, SQL.
• Knowledge of Spark or similar big data platforms.
• Experience working with structured, unstructured data.
• Deep understanding of system design, data structures, and algorithms.
• Experience with Deep Learning frameworks (Tensorflow, Keras and/or Pytorch).
• Experience with workflow orchestration tools (e.g. Apache Airflow).
• Experience building scalable microservices on AWS or other cloud platforms.
• Experience with production grade LLMs and generative AI.
• Fluency in English.
• Outstanding interpersonal and communication skills.
• Result-driven execution of AI/ML solutions.

What's on Offer?

• Flexible working options.
• Excellent career development opportunities.
• Work within a company with a solid track record of success.