Experienced Senior Data Science Analyst for E-commerce Recommendation Systems Development and Analysis

Introduction to Wayfair and the Role

Wayfair, a leading e-commerce company, is seeking a highly motivated and solution-oriented Senior Data Science Analyst to join our Search and Recommendations Analysis team. As a key member of this team, you will have the opportunity to work with Wayfair's vast datasets to inform the development of our product recommendations. Our team collaborates closely with a high-performing group of engineers, AI engineers/data scientists, and product managers who are at the forefront of the product recommendation space. If you are passionate about data analysis, machine learning, and driving business outcomes, we encourage you to apply for this exciting opportunity.

Job Overview

In this role, you will be responsible for designing, running, and analyzing the results of A/B tests of new recommendation algorithms and procedures. You will also develop new testing and test analysis techniques, perform KPI reporting and monitoring, and conduct exploratory data analysis to generate new insights and inform our product recommendation guide. Additionally, you will utilize and develop our in-house automated tools, such as a QA tool to better understand the performance of our new algorithms before A/B testing them.

Key Responsibilities

• Run unconditional exploratory data analysis to identify novel ideas and opportunities
• Design and run A/B tests of our latest recommendation algorithms
• Proactively monitor our recommendation models to identify potential issues, determine underlying drivers, and resolve
• Build new tools that allow us to be more effective and efficient
• Work closely and build useful relationships with our product, engineering, and AI partners
• Communicate key insights and recommendations to cross-functional executive leaders across the organization

Qualifications and Requirements

To be successful in this role, you should have:

• 2+ years of professional experience in a quantitative role (in addition to any graduate education)
• Analysis or Data Science experience with e-commerce companies is a strong plus
• In-depth experience with SQL (full capabilities, query optimization, stored procedures, string parsing, Vertica/Hive/Voila/Flash, etc.), required
• In-depth experience with Python and Python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required
• Experience with experimental design (A/B tests) and statistical analysis to drive business decisions, highly preferred
• Knowledge and experience using machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business setting, highly preferred
• Strong written and verbal communication with a collaborative, highly cooperative mindset
• Ability to collaborate and proactively communicate with stakeholders
• Proven track record of taking ownership and driving results, thriving in a fast-paced environment
• Strong business acumen, analytical skills, and technical abilities along with problem-solving skills

Essential Skills and Competencies

The ideal candidate will possess:

• Strong analytical and problem-solving skills, with the ability to drive business outcomes
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Proficiency in SQL, Python, and machine learning algorithms/techniques
• Experience with data analysis, statistical modeling, and data visualization
• Strong business acumen, with the ability to understand business needs and drive results
• Ability to work in a fast-paced environment, with multiple priorities and deadlines

Career Growth Opportunities and Learning Benefits

At Wayfair, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Science Analyst, you will have the opportunity to:

• Work on complex and challenging projects, with the potential to drive significant business impact
• Collaborate with experienced data scientists, engineers, and product managers to learn from their expertise
• Develop your skills in machine learning, data analysis, and statistical modeling
• Stay up-to-date with the latest industry trends and technologies, through ongoing training and professional development opportunities

Work Environment and Company Culture

Wayfair is a dynamic and fast-paced company, with a strong focus on innovation and customer satisfaction. Our company culture is built on the following values:

• Collaboration and teamwork
• Innovation and experimentation
• Customer obsession
• Ownership and accountability
• Continuous learning and improvement

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

• A salary of $27/hour
• Comprehensive health, dental, and vision insurance
• 401(k) matching and retirement savings plan
• Generous paid time off and holiday schedule
• Opportunities for professional development and growth
• Access to the latest technologies and tools

Conclusion and Call to Action

If you are a motivated and talented data science professional, looking for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Senior Data Science Analyst at Wayfair, you will have the chance to work on complex and impactful projects, collaborate with experienced professionals, and drive business outcomes. Don't miss out on this exciting opportunity to join our team and contribute to the success of our company. Apply now to take the first step towards a rewarding and challenging career with Wayfair.