Economist III - Long Term Impact
About the role
Lead R&D effort to develop innovative causal inference approaches that will extend current capabilities and develop new ML products to provide insights on Long Term Impact (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 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.
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 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.
Qualifications
Nice-to-haves:
- Experience with GCP (BigQuery, GCS, Dataproc, Notebooks)
- Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, Spark, etc.
- Experience with containerization (Docker)
Skills
Expertise in causal inference and interest in bringing best-in-class solutions to e-commerce space.
Benefits
Why You'll Love Wayfair: 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, Mental Health Support (Global Mental Health, Global Wayhealthy Recordings), Caregiver Services, Financial Growth & Security (401K Matching), Tuition Reimbursement, Financial Health Education (Knowledge of Financial Education - KOFE), Tax Advantaged Accounts, Family Support, Family Planning Support, Parental Leave, Global Surrogacy & Adoption Policy, 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.
Pay
Salary Range: $184,800 - $196,350 per year. Individual compensation is determined by skills, qualifications, experience, and location.
Schedule
Hybrid Work Model: Work in the office on designated days, Tuesday, Wednesday, and Thursday, and work remotely the other 2 days of the week.