
Data Scientist, Machine Learning
We are looking for a creative, collaborative, and computationally strong Data Scientist, Machine Learning help build out Coursera’s Skills Graph and its product applications. Ideate, prototype, and productionize the machine learning algorithms that power Coursera’s products, especially Skill Graph and its key applications (e.g., learner skill tracking, skill diagnostics, skill-based recommendations). Partner with product to identify and articulate opportunities, drive data product adoption, and build efficient and scalable insights and data products. Design, implement and deploy end-to-end machine learning / deep learning pipelines and models with cloud services (e.g., AWS Sagemaker). Distill insights from complex data and/or data product results; communicate findings clearly to both technical and non-technical audiences. Develop metrics to evaluate data product performance and drive improvements.
2+ years of research and/or industry experience
Proficient with large-scale distributed databases
Experience with model lifecycle management, testable code and shipping code into production a plus
Deep skills in two or more of: applied statistics, optimization, NLP, predictive modeling
Time Management
Spark
Relational databases and SQL
Model lifecycle management
Process Improvement
Self-Driven
Communication Skills
Multitasking Skills
According to JobzMall, the average salary range for a Data Scientist, Machine Learning in 381 E Evelyn Ave, Mountain View, CA 94041, USA is between $95,000 and $150,000 per year. This salary range is based on various factors including experience, qualifications, certifications, and the specific roles and responsibilities of the job.
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Coursera is an education-focused technology company that connects millions of learners around the world with the skills and knowledge they need to transform their lives and careers. We're providing access to top-quality university-level education at a previously unimagined scale, empowering learners, organizations, and enterprises to build the skills they need to succeed in the 21st century.

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