Senior Machine Learning Scientist, Causal Inference

Wayfair - Seattle, WA

Full-time - Senior

Seattle, WA

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

The Senior Machine Learning Scientist, Causal Inference role at Wayfair focuses on developing innovative machine learning systems that assess the long-term impact of business decisions and customer actions. This position involves working with high-volume customer data to enhance causal inference methodologies, collaborating with various teams to integrate model outputs into business decision-making, and mentoring team members. The role is pivotal in driving data-driven insights that improve customer experience and business growth.

Responsibilities

• Lead R&D effort to develop innovative causal inference approaches that will extend current capabilities and develop new ML products to provide insights on LTI.
• Work highly cross-functionally with business leadership, stakeholders, and partner science and engineering teams to drive the integration of model outputs into company-wide business decision-making and existing production systems.
• Develop robust solutions to infer or recover causal relationships from observational data, minimizing self-selection or third-variable problems.
• Develop and own communication strategy for both technical and business stakeholders, including executive documentation and progress updates.
• Act as a subject matter expert and thought leader on causal inference techniques; research industry trends and best practices and bring them to life at Wayfair.
• Provide mentorship and technical guidance to develop your team as well to influence broader science organization.

Requirements

• PhD in Economics, Statistics or other quantitative field with an emphasis on causal inference.
• 3 years of experience working as a professional ML or research scientist in causal inference with a track record of delivering DS/ML projects that drive measurable business impact.
• Strong SQL skills and excellent software engineering skills in Python.
• Collaborative team player with a customer-centric approach to ideation and problem-solving.
• Excellent written and verbal communication skills, with a track record of influencing non-technical stakeholders.

Nice-to-haves

• Experience with GCP (BigQuery, GCS, Dataproc, Notebooks), Airflow, and containerization (Docker).
• Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, Spark.

Benefits

• Paid Holidays
• Paid Time Off (PTO)
• Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
• Life Insurance
• Disability Protection (Short Term & Long Term Disability)
• Gym/Fitness discounts
• Mental Health Support
• Caregiver Services
• 401K Matching
• Tuition Reimbursement
• Financial Health Education
• Tax Advantaged Accounts
• Family Planning Support
• Parental Leave
• Global Surrogacy & Adoption Policy
• Rewards & Recognition
• Global Employee Anniversary Awards
• Paid Volunteer Work
• Employee Discount
• U.S. Bluebikes Membership
• Global Pod Outings
• Supportive & flexible work environment