Lead Data Science Analyst

Key Skills

Java Programming, Python Programming, SQL, Functional testing, A/B Testing, Jupyter Notebook, Pandas, Presto, Apache Hive, Vertica, matplotlib, SPARK Programming

Job Description

We are looking for a highly motivated and solution-oriented Lead Analyst to join our Search & Recommendations Analytics team. The team leverages Wayfair’s huge datasets to inform roadmaps of our search technology and recommendations. We work in close collaboration with a high performing team of engineers, machine learning engineers/data scientists, and product managers who are on the leading edge of the search and recommendation space. Examples of our work are:

• Design, run and analyze the results of A/B tests of new search or recommendation algorithms and strategies; we also develop new testing and test analysis methodologies.
• KPI reporting and monitoring; this includes anomaly detection tools and advanced measurement approaches.
• Exploratory data analysis (e.g. clustering/segmentation) to generate new insights & inform our product roadmaps.
• Use and develop our in-house automated tools; for instance, we have created a QA tool to better understand the performance of our new algorithms before A/B testing them.

What you will do

• Define and own the strategic agenda to unlock insights and guide the business
• Run open-ended exploratory data analysis to identify new ideas and opportunities
• Design and run A/B tests of our latest search or recommendations algorithms
• Proactively monitor our algorithmic models to identify potential issues, determine root causes, and resolve. 
• Build new tools that allow us to be more productive and efficient
• Work closely and build productive relationships with our product, engineering and machine learning stakeholders.
• Proactively identify areas where advanced analytical efforts can produce a strong value add and work them into the roadmap.
• Communicate key insights and recommendations to cross-functional executive leaders across the organization

What you will need

• Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
• 5+ years work experience in a relevant field (in addition to any graduate education).
• Analytics or Data Science experience with e-commerce companies is a strong plus.
• In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required.
• In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required.
• Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, highly preferred. 
• Knowledge and experience using machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, highly preferred. 
• Strong written and verbal communication with a team player, highly collaborative attitude. 
• Ability to collaborate and proactively communicate with stakeholders.
• Proven track record of taking ownership and driving results. Thrive in a fast-paced environment. 
• Strong business acumen, analytical skills, and technical abilities along with problem-solving skills.
• Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.
• Prior experience proactively identifying areas where analytical efforts can produce a strong business value add and setting the analytics roadmap.
• Able to manage multiple projects and deliver against aggressive goals.