Economist III - Long Term Impact

Overview Salary Range: $184,800 - $196,350 per year. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the annual base salary only and do not include equity. Who We Are Our Long Term Impact (LTI) Science team drives development of world-class ML systems that estimate the long term impact of business decisions and customer actions. We build innovative ML products and services that provide insights to drive LT-aware decisions that improve our customer experience and loyalty in the long term, and ultimately grow our business. We have a modern tech stack including sophisticated capabilities around causal inference and ML. We’re a highly collaborative, supportive team that values learning, psychological safety and intentional career development. What You’ll Do 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. Developing robust solutions to infer or recover causal relationships from observational data, in a way that minimizes 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. Who You Are 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 and Perks 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; Mental Health Support; Caregiver Services Financial Growth & Security: 401K Matching; Tuition Reimbursement; Financial Health Education; 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 Policies and Accessibility Wayfair's In-Office Policy: All Boston-based interns, co-ops, and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days, Tuesday, Wednesday, and Thursday, and work remotely the other 2 days of the week. Assistance For Individuals With Disabilities: Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accommodations for Applicants form. Need Technical Assistance?: For more information about applying for a career at Wayfair, visit our FAQ page here. About Wayfair Wayfair is one of the world’s largest online destinations for the home. We are committed to industry-leading technology and creative problem-solving. Wayfair is an equal opportunity employer and does 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 questions or wish to exercise your rights under applicable privacy laws, contact View email address on click.appcast.io. #J-18808-Ljbffr Wayfair