Wayfair Jobs Near Me – Senior Data Scientist – MLE, B2B

Job Description:

Wayfair Data Science powers automation & decision support across all Wayfair business units. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods.
Wayfair Professional’s (B2B) mission is to help businesses make good spaces great. We leverage Wayfair’s platform to serve professional customers in many industries, including Interior Design, Commercial Office, Contractor, Property Management, Accommodations, Foodservice and Education, with cross-functional teams focused on improving the customer experience in each target vertical.

Job Responsibilities:

• Identify and innovate new opportunities to drive business results through data science
• Build machine learning models to drive algorithm decision making across Marketing, Sales, Operations & Pricing domains for Wayfair Professional
• You’ll be a builder of tools, software, and microservices that enhance or streamline various steps or challenges within the data science workflow & our tech stack
• Own the full data science life cycle: scoping to prototyping, testing, deploying, measuring value and iterating
• Extend existing ML libraries and frameworks for scalable model training & deployment
• Partner closely with various business & engineering teams to drive the integration of our model outputs & algorithmic decision-making systems into existing production systems
• Collaborate with other data scientists to build high quality ML models that can robustly scale up to large volumes in production
• Build highly scalable distributed data processing platforms that evaluate the long-term incremental value of our millions of offerings and of actions that the business can take

Job Requirements:

• Communication skills that can influence across organizations and at all levels
• Proficient in parallel computing and big data technologies, particularly Hadoop, Hive, Spark.
• Comfortable with SQL and ability to wrangle data from various sources
• Thorough command of general data science and machine learning techniques, good understanding of data engineering practices
• Ability to work on cross-functional projects and communicate with stakeholders at multiple levels of technical detail
• Proficient at one or more programming languages, e.g. Python, R, etc.
• Good understanding of experimental and statistical techniques for the design of A/B tests to measure the impact of initiatives

Qualification & Experience:

• Commercial experience in production-environment-driven ML design
• BS in computer science (or equivalent degree) and 4+ years of experience in a quantitative field (statistics, mathematics, economics, operations research, physics, neuroscience etc), data engineering, data science, or software development, or PhD or MS in computer science (or equivalent degree) and 2+ years experience
• BS in computer science (or equivalent degree) and 4+ years of experience in a quantitative field (statistics, mathematics, economics, operations research, physics, neuroscience etc), data engineering, data science, or software development, or PhD or MS in computer science (or equivalent degree) and 2+ years experience

Job Details:

Company: Wayfair

Vacancy Type: Full Time

Job Location: Boston, MA, US

Application Deadline: N/A

Apply Here

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