Coursera logo

Senior Data Scientist, Machine Learning

Coursera

Job description

Coursera is a leading online learning platform for higher education, where 71 million learners from around the world come to learn skills of the future. More than 200 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, certificates, and degree programs. Thousands of companies trust the company’s enterprise platform Coursera for Business to transform their talent. Coursera for Government equips government employees and citizens with in-demand skills to build a competitive workforce. Coursera for Campus empowers any university to offer high-quality, job-relevant online education to students, alumni, faculty, and staff. Coursera is backed by leading investors that include Kleiner Perkins, New Enterprise Associates, Learn Capital, and SEEK Group.

At Coursera, our Data Science team is helping to build the future of education through data-powered products and data-driven decisions. In Machine Learning, we define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. In Decision Science, we drive product and business strategy through measurement, experimentation, and causal inference. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.

We are looking for a creative, collaborative, and computationally strong Senior Data Scientist, Machine Learning help build data products to support learners throughout their in-course journey on Coursera. This will include classifying and triaging student questions, building machine-assisted grading solutions, and automating the generation of helpful learning resources. Many of these products will involve heavy usage of NLP techniques on text data found in lecture transcripts, assignment submissions, and forum threads. Our ideal candidate has end-to-end data product experience, including identification of user-facing machine learning opportunities, collaboration with cross-functional product teams, and in-production deployment to bring products to life. It is also crucial that a candidate is impact-driven and shares our passion for education.

Check out life at Coursera on The Muse!

Responsibilities:


  • Ideate, prototype, and productionize the machine learning algorithms that power Coursera’s learning experience, especially in-course student support (question-and-answering service, machine-assisted grading, plagiarism detection, service ticket classification)
  • 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.

Basic Qualifications:


  • 3+ years experience with NLP, classification, and predictive modeling in production environments
  • Demonstrated ability to identify opportunities for machine learning to improve existing systems
  • Solid background in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.
  • Knowledge of software development tools like Git, CI/CD, Docker, etc.
  • Strong project management and cross-functional collaboration skills
  • Excellent problem solving, critical thinking, analytical and interpersonal skills
  • Proficient with relational databases and SQL

Preferred Qualifications:


  • 2+ years of work experience in deployment and scaling of Machine Learning and Deep Learning algorithms on AWS cloud services (Sagemaker, Lambda, Cloudwatch, etc.)
  • Experience with model lifecycle management, testable code and shipping code into production
  • Proficient with large-scale distributed databases (e.g., Spark)
  • Experience with online controlled experimentation
  • MS or above

If this opportunity interests you, you might like these courses on Coursera:


Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at [email protected]

Please review our CCPA Applicant Notice here.

Apply now

Apply Apply

Please let Coursera know you found this job on Himalayas. This will help us grow!

About this role

Apply before

May 6th, 2021

Job posted on

November 17th, 2020

Job type

Full Time

Hiring timezones

Coursera is hiring for this role in the following timezones:

Badge UTC -8.0
Badge UTC -7.0
Badge UTC -6.0
Badge UTC -5.0
Badge UTC -4.0
Badge UTC -3.5
Badge UTC -3.0
Badge UTC -2.0
Badge UTC -1.0
Badge UTC 0.0

Categories

Primary industry
Company size

1,001-5,000

Founded in

2012

Social media
Visit coursera.org Visit coursera.org

About the company

Coursera was founded by two computer science professors at Stanford with a vision of providing life-transforming learning experiences to anyone, anywhere. It is the world’s largest online learning plat...
View company profile View company profile

We'll keep you updated when the best new remote jobs pop up.

mail
Subscribe

We care about the protection of your data. Read our Privacy Policy.

Featured remote companies

View all companies View all companies
  • SparkLabs logo

    SparkLabs is a small independent company that creates powerful software for desktop and mobile.

    Employees

    1-10

  • Time Doctor logo

    OUR COMPANY Founders Rob Rawson and Liam Martin built the Time Doctor software in 2012.

    Employees

    51-200

  • ConnectCPA logo

    ConnectCPA is a forward-thinking Online Chartered Accounting firm specializing in Tax and Accounting services with a focus on cloud technology solutions.

    Employees

    11-50

  • Spreedly logo

    Spreedly is SaaS for payments. Integrate to our API to transact against over 100 endpoints.

    Employees

    51-200

  • Loadsmart logo

    Be part of the logistics revolution. Here’s what that means Con

    Employees

    201-500

  • Team App logo

    Team App is a FREE platform managing the communication and membership of any sporting club, team, association, or social group.

    Employees

    11-50