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.
Apply Now
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.
Apply Now