Machine Learning Scientist I

About the role

This is a Boston based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday).

Responsibilities

• Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value
• Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems
• Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
• Drive measurable business value collaborating with business teams to change the course of Wayfair
• Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company
• Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings
• Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
• Work with a team of friendly and motivated scientists working together to build novel solutions to business problems
• Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices
• Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops

Requirements

• 1-3 years of transferable experience in a corporate environment, including internship and co-op experience
• Masters degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.)
• Proficient knowledge of structured programming language(s) (e.g. Python)
• Experience with languages and tools relevant to data science, including Pytorch/TF, Github, Pyspark, Docker, SQL, GCP
• Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams
• Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research

Qualifications

• Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.
• An affinity for data along with experience leveraging statistics and regression analysis
• Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
• Familiarity with data structures, algorithms, OOP, and programming in a team environment
• Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills
• Ability to thrive in a dynamic environment where there can be degrees of ambiguity
• Ability to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decisions
• Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges
• Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems
• Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices
• Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills
• Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data

Skills

• Object-oriented design
• Data structures
• Algorithms

Benefits

Full health benefits available (Medical, Dental, Vision, HSA/FSA) on day one for eligible employees
24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching
Automatic enrollment into Basic Life and Accidental Death & Disability Insurance
401(k) matching with immediate vesting
Paid Parental Leave, Surrogacy & Adoption Reimbursement and Caregiver Services
Tuition Reimbursement
Wayfair Employee Discount
Gym/Fitness Discounts
Exclusive access to thousands of perks & discounts through BenefitHub
Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits