<p>Location: Toronto, Remote</p><br/><p>Employment Type: Full-time Exempt</p><br/><p>Team: Data Science</p><br/><div><span style="font-size: small">Coursera is a leading online learning platform for higher education, where&nbsp;76&nbsp;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.&nbsp;Thousands&nbsp;of companies trust the company’s enterprise platform&nbsp;</span><a href="https://www.coursera.org/business/" style="font-size: small" class="postings-link">Coursera for Business</a><span style="font-size: small">&nbsp;to transform their talent.&nbsp;</span><a href="https://www.coursera.org/government" style="font-size: small" class="postings-link">Coursera for Government</a><span style="font-size: small">&nbsp;equips government employees and citizens with in-demand skills to build a competitive workforce.&nbsp;</span><a href="https://www.coursera.org/campus/" style="font-size: small" class="postings-link">Coursera for Campus</a><span style="font-size: small">&nbsp;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.</span></div><div><br></div><div><span style="font-size: 12pt">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.</span></div><div><br></div><div><span style="font-size: 12pt">We are looking for a creative, collaborative, and computationally strong Senior Data Scientist, Machine Learning to help deliver high-quality and high-impact data products to production through leading the ML frameworks design and enhancement. In addition to the ML architecture, this role will also help build out Coursera’s Skills Graph and its product applications. Our Skills Graph is a foundational data asset powered by NLP and crowdsourcing that maps a robust library of skills to the content that teaches them, the careers that require them, and the learners who have or want to learn them. Product applications of Skills Graph range from skills-based search and recommendations to real-time learner skill tracking. 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.</span></div><div><br></div><div><span style="font-size: 10pt">Check out life at Coursera on </span><a href="https://www.themuse.com/profiles/coursera" style="font-size: 10pt" class="postings-link">The Muse! </a></div><h3>Responsibilities:</h3><br/><ul><li>Designing and enhancing the existing end-to-end architecture for AI solutions using ML tools (e.g., AWS Sagemaker, MLFlow)</li><li>Bringing new technologies and frameworks to our ML team and support onboarding of ML data scientists to platforms</li><li>Collaborating with platform engineering to help guide and design solutions for new machine learning services, tools and approaches for scalable ML solutions</li><li>Ideate, prototype, and productionize the machine learning algorithms that power Coursera’s learning experience, especially Skill Graph and its key applications (e.g., learner skill tracking, skill diagnostics, skill-based recommendations)</li><li>Design, implement and deploy end-to-end machine learning / deep learning pipelines and models with cloud services (e.g., AWS Sagemaker)</li><li>Partner with product to identify and articulate opportunities, drive data product adoption, and build efficient and scalable insights and data products</li><li>Distill insights from complex data and/or data product results; communicate findings clearly to both technical and non-technical audiences</li><div><br></div></ul><br/><h3>Basic Qualifications:</h3><br/><ul><li>3+ years of industry experience on implementing and launching data science pipelines and applications at scale using a general programming language (e.g, Python, Java, Scala)</li><li>1+ year of experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)</li><li>Experience with software development tools like Git, CI/CD, Docker, etc.</li><li>Experience&nbsp; in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.</li></ul><br/><h3>Preferred Qualifications:</h3><br/><ul><li>2+ years of work experience in deployment and scaling of Machine Learning and Deep Learning algorithms on AWS cloud services (Sagemaker, Lambda, Cloudwatch, etc.)</li><li>Experience with upskilling teammates with new ML technologies and infrastructures</li><li>Experience with large-scale distributed databases (e.g., Spark)</li><li>Experience with data orchestration tools (e.g., Airflow) and streaming systems</li><li>Experience with online controlled experimentation</li><li>MS or above </li><div><br></div><div><b>If this opportunity interests you, you might like these courses on Coursera: </b><a href="https://www.coursera.org/specializations/recommender-systems" class="postings-link">Recommender Systems</a>, <a href="https://www.coursera.org/learn/language-processing" class="postings-link">Natural Language Processing</a>, <a href="https://www.coursera.org/projects/sentiment-analysis-bert" class="postings-link">Sentiment Analysis with Deep Learning Using BERT</a></div></ul><br/><div><b style="font-size: 10pt">If this opportunity interests you, you might like these courses on Coursera:</b></div><div><br></div><div><a href="https://www.coursera.org/learn/classification-vector-spaces-in-nlp/home/welcome" style="font-size: 10pt" class="postings-link">NLP for Classification</a></div><div><a href="https://www.coursera.org/learn/language-processing" style="font-size: 10pt" class="postings-link">Natural Language Processing</a></div><div><a href="https://www.coursera.org/projects/sentiment-analysis-bert" style="font-size: 10pt" class="postings-link">Sentiment Analysis with Deep Learning Using BERT</a></div><div><br></div><div>Coursera is an&nbsp;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.</div><div><br></div><div>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 accommodations@coursera.org. </div><div><br></div><div>Please review our <a href="https://drive.google.com/file/d/1VoafvZVMx9IqfEymgE5GfuWC7OkzlAnc/view?usp=sharing" class="postings-link">CCPA Applicant Notice</a> here.</div>

Location: Toronto, Remote

  

Employment Type: Full-time Exempt

  

Team: Data Science

  

Coursera is a leading online learning platform for higher education, where 76
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](https://www.coursera.org/business/) to transform their
talent. [Coursera for Government](https://www.coursera.org/government) equips
government employees and citizens with in-demand skills to build a competitive
workforce. [Coursera for Campus](https://www.coursera.org/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 to help deliver high-quality and high-
impact data products to production through leading the ML frameworks design
and enhancement. In addition to the ML architecture, this role will also help
build out Coursera’s Skills Graph and its product applications. Our Skills
Graph is a foundational data asset powered by NLP and crowdsourcing that maps
a robust library of skills to the content that teaches them, the careers that
require them, and the learners who have or want to learn them. Product
applications of Skills Graph range from skills-based search and
recommendations to real-time learner skill tracking. 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!
](https://www.themuse.com/profiles/coursera)

### Responsibilities:

  

  * Designing and enhancing the existing end-to-end architecture for AI solutions using ML tools (e.g., AWS Sagemaker, MLFlow)
  * Bringing new technologies and frameworks to our ML team and support onboarding of ML data scientists to platforms
  * Collaborating with platform engineering to help guide and design solutions for new machine learning services, tools and approaches for scalable ML solutions
  * Ideate, prototype, and productionize the machine learning algorithms that power Coursera’s learning experience, especially Skill Graph and its key applications (e.g., learner skill tracking, skill diagnostics, skill-based recommendations)
  * Design, implement and deploy end-to-end machine learning / deep learning pipelines and models with cloud services (e.g., AWS Sagemaker)
  * Partner with product to identify and articulate opportunities, drive data product adoption, and build efficient and scalable insights and data products
  * Distill insights from complex data and/or data product results; communicate findings clearly to both technical and non-technical audiences

  

  

### Basic Qualifications:

  

  * 3+ years of industry experience on implementing and launching data science pipelines and applications at scale using a general programming language (e.g, Python, Java, Scala)
  * 1+ year of experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
  * Experience with software development tools like Git, CI/CD, Docker, etc.
  * Experience  in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.

  

### 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 upskilling teammates with new ML technologies and infrastructures
  * Experience with large-scale distributed databases (e.g., Spark)
  * Experience with data orchestration tools (e.g., Airflow) and streaming systems
  * Experience with online controlled experimentation
  * MS or above 

  

**If this opportunity interests you, you might like these courses on
Coursera:**[Recommender
Systems](https://www.coursera.org/specializations/recommender-systems),
[Natural Language Processing](https://www.coursera.org/learn/language-
processing), [Sentiment Analysis with Deep Learning Using
BERT](https://www.coursera.org/projects/sentiment-analysis-bert)

  

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

  

[NLP for Classification](https://www.coursera.org/learn/classification-vector-
spaces-in-nlp/home/welcome)

[Natural Language Processing](https://www.coursera.org/learn/language-
processing)

[Sentiment Analysis with Deep Learning Using
BERT](https://www.coursera.org/projects/sentiment-analysis-bert)

  

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 accommodations@coursera.org.

  

Please review our [CCPA Applicant
Notice](https://drive.google.com/file/d/1VoafvZVMx9IqfEymgE5GfuWC7OkzlAnc/view?usp=sharing)
here.

