Machine Learning Scientist II - Demand Forecasting Science
Machine Learning Scientist II - Demand Forecasting Science
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1 Vacancy
Job Description
About this role:
We are seeking a strong action-oriented Machine Learning Scientist to develop refine and deploy innovative solutions for Wayfairs Demand Forecasting Science team. In this highly impactful role you will apply cutting-edge deep learning and statistical models to solve mission critical problems in demand supply-chain forecasting and recommender systems. Success in this role requires proficiency in deep learning models and techniques strong problem solving and communication skills customer obsession and the ability to work effectively across cross-functional teams. The ideal candidate also has experience with recommendation systems and/or in forecasting or time series analysis.
What Youll do:
- Research and experiment with state-of-the-art deep learning/supervised learning techniques and algorithms. Design and implement evaluation strategies applied to real-world scenarios tailored to Wayfair use cases in forecasting or recommendations.
- Identify new opportunities and insights from the data (where can the models be improved what is the projected ROI of a proposed modification)
- Develop and deploy machine learning models in production by collaborating with software engineers and using robust CI/CD practices; ensure these models are scalable secure and continuously monitored for performance with effective troubleshooting.
- Contribute to architectural and code review discussions to enhance our engineering ecosystem.
- Work with product managers and commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions.
- Partner with cross-functional teams across engineering science and product to ensure our solutions integrate seamlessly into our forecasting and recommender systems.
- Be obsessed with the customer and maintain a customer-centric lens in how we frame approach and ultimately solve every problem we work on.
- Stay current with the latest research in statistical forecasting and deep learning techniques and models as they apply to problems in recommendation and forecasting.
Who you are:
- PhD with 0-1 years of experience or Masters in Computer Science Machine Learning or a related quantitative field with 2 years of full-time industry experience in applied research.
- Proficiency in Python or one other high-level programming language; skilled in using ML frameworks (such as TensorFlow PyTorch) and version control best practices.
- Must have a strong theoretical understanding and solid hands-on expertise deploying supervised learning or deep learning solutions into production.
- Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting processing and transforming data.
- Strong written and verbal communication skills ability to synthesize conclusions for non-experts and to effectively collaborate across teams customer obsession and overall bias towards simplicity.
- 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.
Nice to have:
- Research publications in leading conferences and journals in relevant fields such as deep learning statistics forecasting or econometrics.
- Experience working in e-commerce recommendation systems.
- Experience in demand/supply-chain forecasting.
- Experience with GCP (or AWS Azure) and ML orchestration tools such as Airflow and Kubeflow.
Why Youll Love Wayfair:
- Time Off:
- Paid Holidays
- Paid Time Off (PTO)
- Health & Wellness:
- Full Health Benefits (Medical Dental Vision HSA/FSA)
- Life Insurance
- DIsability Protection (Short Term & Long Term DIsability)
- Global Wellbeing: Gym/Fitness discounts (including US Peloton Global ClassPass and various regional gym memberships)
- Mental Health Support (Global Mental Health Global Wayhealthy Recordings)
- Caregiver Services
- Financial Growth & Security:
- 401K Matching (Employee Matching Program)
- Tuition Reimbursement
- Financial Health Education (Knowledge of Financial Education - KOFE)
- Tax Advantaged Accounts
- Family Support:
- Family Planning Support
- Parental Leave
- Global Surrogacy & Adoption Policy
- Professional Development & Recognition:
- Rewards & Recognition
- Global Employee Anniversary Awards
- Paid Volunteer Work
- Unique Perks:
- Employee Discount
- U.S. Bluebikes Membership
- Global Pod Outings
- Work/Life Balance:
- Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
If you dont meet every qualification listed we still encourage you to apply. Were looking for strong team players who can learn grow and make an impact.
This is a hybrid position and requires employees in-office Tuesday Wednesday Thursday and remote on Monday and Fridays.
About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world were reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.
No matter who you are Wayfair is a place you can call home. Were a community of innovators risk-takers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and well-positioned for success. We value and rely on the collective voices of our employees customers community and suppliers to help guide us as we build a better Wayfair and world for all. Every voice every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race color ethnicity ancestry religion sex national origin sexual orientation age citizenship status marital status disability gender identity gender expression veteran status genetic information or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice ( If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Employment Type
Full Time
