Lead Data Scientist, Search and Personalization (14498) - Canada (Remote)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Who You Are:

• We are looking for a Senior Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!

Your Next Challenge:

• Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
• Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
• Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
• Develop and implement online and offline testing and validation methodologies
• Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process

What You'll Need:

• Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
• A minimum of 5 years validated experience
• Proven expertise as a technical lead providing mentorship and guidance to team members.
• A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
• Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
• Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
• Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
• An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
• Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
• Open listener, ability to be open to many diverse voices and perspectives
• You are clear, credible, and forward-thinking!
• A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful

Mental and Physical Demands:

• A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
• Frequent communication with others to exchange information
• Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
• Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
• Constant assessment of accuracy and thoroughness of the work assignment