Experienced Senior Data Science Analyst – Web & Cloud Application Development, Data Analysis, and Business Insights

About Us Wayfair is a leading e-commerce company that operates in the private sector, revolutionizing the way people shop for home goods and furniture. With a strong presence in Boston, USA, we are committed to delivering exceptional customer experiences through our innovative products and services. Our team of experts is passionate about leveraging data science and analytics to drive business growth and improve customer satisfaction. Job Summary We are seeking a highly motivated and detail-oriented Senior Data Science Analyst to join our Hunt and Suggestions Examination team in Boston. As a key member of our team, you will be responsible for analyzing large datasets to inform our product recommendation strategy. You will work closely with a high-performing team of experts, including AI engineers, data scientists, and product managers, to develop and implement data-driven solutions that drive business results. Key Responsibilities Design, run, and analyze the results of A/B tests of new recommendation algorithms and systems to identify areas of improvement and optimize our product recommendation strategy. Develop and maintain KPI reporting and monitoring tools to track key performance indicators and identify anomalies in our data. Conduct exploratory data analysis to identify trends and patterns in our data and develop new insights to inform our product recommendation strategy. Develop and maintain in-house tools and technologies to improve our data analysis and recommendation capabilities, such as our QA instrument to evaluate the performance of new algorithms before A/B testing. Collaborate with cross-functional teams, including product, design, and AI, to develop and implement data-driven solutions that drive business results. Communicate key findings and recommendations to senior leaders across the organization to inform business decisions. What You'll Need To succeed in this role, you will need: A Bachelor's degree in a quantitative field, such as computer science, mathematics, statistics, or economics. Experience in data analysis and science, preferably in a web-based business or e-commerce environment. Advanced skills in SQL, including query optimization, stored procedures, and data modeling. Proficiency in Python and Python libraries, including Jupyter notebooks, pandas, scikit-learn, and matplotlib. Experience with A/B testing and statistical analysis to drive business decisions. Knowledge of machine learning algorithms and techniques, including decision trees, random forests, and deep learning. Excellent written and verbal communication skills, with the ability to collaborate and communicate effectively with cross-functional teams. A proven track record of taking ownership and driving results in a fast-paced environment. Strong business acumen, analytical skills, and technical abilities, with the ability to think critically and solve complex problems. What We Offer As a Senior Data Science Analyst at Wayfair, you will have the opportunity to work with a talented team of experts, develop your skills and expertise, and contribute to the growth and success of our organization. We offer a competitive salary and benefits package, including: A salary of $24/hour. A comprehensive benefits package, including health insurance, retirement savings, and paid time off. Opportunities for professional growth and development, including training and education programs. A dynamic and inclusive work environment that values diversity, equity, and inclusion. Equal Employment Opportunity Wayfair is committed to providing equal employment opportunities to all qualified individuals, including those with disabilities. We will provide reasonable accommodations to qualified individuals with disabilities, unless doing so would cause an undue hardship on our business operations. How to Apply If you are a motivated and detail-oriented Senior Data Science Analyst looking for a challenging and rewarding opportunity, please apply through our website. We look forward to hearing from you! Apply for this job