About this opportunity
Rue Gilt Groupe lists this Data Scientist opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Overview
Rue Gilt Groupe is looking for a Data Scientist to join our industry-leading Data Science and Machine Learning Team . 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 with three uniquely established brands: Rue La La, Gilt, and ShopSimon.
We inspire confidence and spark delight in over 50M customers, and we are evolving our machine learning models and data science platform to unlock significant opportunities for continued growth and success. Come help us build the next generation of our products!
Base pay range
$100,000.00/yr - $130,000.00/yr
About You:
At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness, and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow, and bring their full self to work. Even if you don\'t check off every qualification in the job description, that\'s okay. We encourage you to apply to any role that excites you and sparks delight! We can\'t wait to learn more about you.
Responsibilities:
Work on challenging AI/ML projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies 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 to empower predictive modeling services for both internal and external customers
Productionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production support
You will be involved in the design and implementation of applications and tools based on AI (including GenAI) that will revolutionize the way our software interacts with users while maintaining a responsible approach to the use of these technologies
Identify opportunities for data science to increase the organization’s efficiency and lift our core business
Collaborate with a wide range of business stakeholders and departments ranging from Marketing, Merchandising, and Planning to Executive Leadership
Work in multi-functional agile teams to experiment continuously, 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, effectively communicating your needs and understanding theirs
Qualifications:
PhD in Computer Science, Data Science, Engineering, or a related field with 1+ years of industry experience or a Masters degree in Computer Science, Data Science, Engineering, or a related field with 3+ years of industry experience
Proficiency with Deep Learning frameworks such as TensorFlow, Keras, and PyTorch
Experience in Reinforcement Learning and Bandit frameworks
Strong knowledge of Spark or similar big data platforms and technologies
Demonstrated experience working in an agile environment, delivering iteratively and efficiently
Expertise in machine learning, feature engineering, and software development
Proven experience with statistical modeling and large-scale data analytics
Skilled in writing clean, efficient code in Python and SQL
Experience working with structured and unstructured data and table design
In-depth understanding of system design, data structures, and algorithms
Experience with workflow orchestration tools, such as Apache Airflow
Familiarity with production-grade Large Language Models (LLMs) and Generative AI
Familiarity with building scalable microservices for high-volume data delivery on AWS or similar platforms
Excellent interpersonal and communication skills, with the ability to collaborate effectively in a team environment, accept feedback, and foster a collaborative spirit
Result-driven approach to executing AI/ML solutions to drive business growth
About the Data Science and AI Team:
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 our 50M members\' online shopping experience and our annual revenues. We are uniquely positioned in the sense that the team is responsible for both creating data science solutions and productionizing the solutions in a scalable cloud environment, which removes the barrier between the science and engineering that we typically see in the industry.
About Us:
Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We\’ve defined the online treasure hunt through our 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.
Rue Gilt Groupe operates three complementary sites – Rue La La, Gilt, and Shop Premium Outlets.
Our vision at RGG is to spark delight through daily discovery – we make shopping an occasion to celebrate. At the forefront of fashion and technology, we’re also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected – every day. Our culture is rooted in our values, and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious, and Empowered.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research and Information Technology
Industries
Retail
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.