Junior ML Scientist - Hybrid in Boston

Wayfair; Boston (MA); Hybrid; USD 125,000 - 145,000; Full time

Benefits offered by this job

Full health benefits on day one

Wellbeing support and resources

401(k) matching

Tuition Reimbursement

Wayfair Employee Discount

Gym discounts

Job summary

Wayfair is seeking engineers to own end-to-end data science and machine learning projects in a Boston-based role with a mix of in-office and remote work. You will design, prototype, deploy, and measure models that impact customer experiences and business value, collaborating with ML scientists and software engineers across teams.

Qualified candidates typically have a Masters in a quantitative field, 1–3 years of experience, and strong Python, PyTorch/TensorFlow, SQL, GCP, and big-data tooling

Qualifications

• 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

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

Skills

Python

Pytorch/TF

SQL

Education

Masters degree in quantitative field

Tools

GitHub

Pyspark

Docker

SQL

GCP

Job description

Wayfair is seeking engineers to own end-to-end data science and machine learning projects in a Boston-based role with a mix of in-office and remote work. You will design, prototype, deploy, and measure models that impact customer experiences and business value, collaborating with ML scientists and software engineers across teams.

Qualified candidates typically have a Masters in a quantitative field, 1–3 years of experience, and strong Python, PyTorch/TensorFlow, SQL, GCP, and big-data tooling