Senior Staff Data Scientist at Wayfair LLC in Boston, MA
We are looking for an experienced, highly skilled, individual contributor to join the Data Science Catalog team, with a track record in solving ambiguous machine learning problems to identify the best new products in Wayfair's marketplace. You will be mentoring other data scientists, as well as working with multiple merch and engineering teams to solve one of the most impactful and intellectually challenging data science problems at Wayfair. What You'll Do Provide technical leadership in the development of an intelligent product matching system by advancing the state-of-the-art in machine (and deep) learning techniques to support duplicate matching, competitor matching, and selection gaps. Setup offshore human-in-the-loop experiments and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. Keep abreast of relevant research in search query, information retrieval, and relevance ranking. Maintain expert knowledge in computer science, machine (and deep) learning, data mining, natural language processing, active learning, large-scale optimization techniques and more. Engage in broader strategy and execution discussions in the Data Science Organization, providing input from your program experiences to enhance our priorities across the board. Work with cross-functional teams of product managers, engineers, scientists, and analysts, to devise implementation and experimentation strategies. Actively contribute to the wider data science and machine-learning community by sharing and publishing your findings within Wayfair and through collaborations. What You'll Need 6
years of overall hands-on experience in data science or closely related quantitative field in quantitative field preferred (e.g. engineering, mathematics, economics, computer science, physics, neuroscience, operations research etc.) Hands-on experience building and deploying production ML models at scale Experience providing deep technical coaching and mentorship to junior data scientists Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc. Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. A high degree of comfort with ambiguity and breaking down complex problems A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives Ability to effectively work with business leads:
strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
years of overall hands-on experience in data science or closely related quantitative field in quantitative field preferred (e.g. engineering, mathematics, economics, computer science, physics, neuroscience, operations research etc.) Hands-on experience building and deploying production ML models at scale Experience providing deep technical coaching and mentorship to junior data scientists Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc. Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. A high degree of comfort with ambiguity and breaking down complex problems A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives Ability to effectively work with business leads:
strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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