Senior Machine Learning Scientist, Causal Inference

Wayfair - Boston, MA

Full-time - Senior

Boston, MA

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

The Senior Machine Learning Scientist, Causal Inference role at Wayfair involves leading the development of innovative machine learning systems that assess the long-term impact of business decisions and customer actions. This position focuses on pushing the boundaries of causal inference methodologies using extensive customer data, with the goal of enhancing business growth and improving customer experience. The role requires collaboration with various teams to integrate model outputs into business decision-making processes and to mentor junior team members.

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.
• Consistent track record of autonomous delivery of DS/ML projects that drive measurable business impact.
• Collaborative team player who wants to see themselves and others thrive.
• Expertise in causal inference and interest in bringing best-in-class solutions to e-commerce space.
• Takes a customer-centric approach to ideation and problem-solving.
• Track record of influencing non-technical stakeholders on strategic direction by leveraging data-driven insights; excellent written and verbal communication.
• Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization.
• Strong SQL skills and excellent software engineering skills in Python.

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, etc.

Benefits

• Paid Holidays
• Paid Time Off (PTO)
• 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
• 401K Matching (Employee Matching Program)
• Tuition Reimbursement
• Financial Health Education (Knowledge of Financial Education - KOFE)
• 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
• Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments