<div class="content-intro"><p>Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 136 million registered learners as of September 30, 2023.</p>
<p>Coursera partners with over 300 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a B Corp in February 2021.</p>
<p><span style="font-weight: 400;">Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.</span></p>
<p><strong data-stringify-type="bold">We at Coursera are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.</strong></p></div><p><strong>Job Overview:</strong></p>
<p>We are looking for a talented Staff Machine Learning Scientist (Growth) to join our team and support growth initiatives focused on increasing user conversion for a rapidly expanding line of business. You will work closely with our data science, product, and marketing teams to develop personalized models and algorithms, analyze data, and make data-driven decisions to boost user engagement and conversion rates. Your focus will be on enhancing personalization, refining marketing strategies, building propensity models, and developing next best action models for hyper-personalization to drive user growth.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Develop and implement machine learning models for user conversion optimization, personalization, propensity modeling, and next best action recommendations using advanced machine learning such deep learning &amp; reinforcement learning</li>
<li>Work directly with marketing teams to refine strategies and targeting methods for user acquisition and retention</li>
<li>Collaborate with cross-functional teams to identify growth opportunities and insights through personalized user experiences and targeted marketing initiatives</li>
<li>Analyze user behavior, interests, and preferences to tailor marketing and content recommendations</li>
<li>Build and maintain next best action models to determine the most effective content or marketing initiatives for individual users at any given time</li>
<li>Design and conduct A/B tests to measure the effectiveness of new features, marketing initiatives, and hyper-personalization strategies</li>
</ul>
<p><strong>Basic Qualifications:</strong></p>
<ul>
<li>Masters degree in Statistics, Optimization, Computer Science, or a related STEM fieldStrong background in optimization, statistics, deep learning, and causal modeling</li>
<li>Previous experience in machine learning, data science, or a related field, specifically in a marketing or growth context</li>
<li>Ability to translate complex algorithm outputs into actionable marketing insights and strategies</li>
<li>Background in data analysis and visualization tools</li>
<li>Proficiency in Python &amp; SQL</li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>PhD in Statistics, Optimization, Computer Science, or a related STEM field</li>
<li>Experience with marketing analytics &amp; audience building, Large Language Models, propensity modeling, reinforcement learning, bandit algorithms, and/or personalized marketing algorithms especially with constraints such as multi-objective optimization</li>
<li>Extensive experience (8+ years) in machine learning, data science, or a related field, specifically in a marketing or growth context</li>
<li>Familiarity with data engineering, SQL, and cloud-based infrastructure (AWS, GCP, or Azure)Exceptional analytical skills and ability to derive insights from data to inform decision-making, familiarity with customer journey mapping, customer segmentation, and user behavior analysis</li>
<li>Strong communication and collaboration skills, with experience in translating complex analysis results to a non-technical audience</li>
</ul>
<p><span style="font-weight: 400;"><strong>If this opportunity interests you, you might like these courses on Coursera:</strong></span></p>
<ul>
<li><a href="https://www.coursera.org/learn/uva-darden-artificial-intelligence-marketing"><strong><em>Artificial Intelligence in Marketing</em></strong></a></li>
<li><a href="https://www.coursera.org/specializations/machine-learning-introduction?utm_medium=sem&amp;utm_source=gg&amp;utm_campaign=B2C_NAMER_machine-learning-introduction_stanford_FTCOF_specializations_country-US-country-CA&amp;campaignid=685340575&amp;adgroupid=146515176429&amp;device=c&amp;keyword=&amp;matchtype=&amp;network=g&amp;devicemodel=&amp;adposition=&amp;creativeid=650958766230&amp;hide_mobile_promo&amp;gclid=CjwKCAjw2K6lBhBXEiwA5RjtCQTI_9vqUWzznnvlsNGn4vI9oBqOLlMakC1iQw5RjuG2CKiiKJEpJxoC73YQAvD_BwE"><strong><em>Machine Learning Specialization: DeepLearning.AI</em></strong></a></li>
</ul>
<p><strong>Compensation:</strong></p>
<p>Our job titles may span more than one career level. The starting base pay for this role is between $157,000 - $232,000. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits.&nbsp;</p>
<h6>#LI-CP1</h6><div class="content-conclusion"><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>&nbsp;</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>&nbsp;</div>
<div>For California Candidates, please review our <a class="postings-link" href="https://drive.google.com/file/d/1VoafvZVMx9IqfEymgE5GfuWC7OkzlAnc/view?usp=sharing">CCPA Applicant Notice</a> here.</div>
<div>For our Global Candidates, please review our <a class="postings-link" href="https://drive.google.com/file/d/1hlfSN3KDu9VH44MhZv5wrw2wf1uiRF-C/view?usp=sharing">GDPR Recruitment Notice</a> here.</div>
<div>&nbsp;</div>
<div>#LI-Remote</div></div>

Coursera was launched in 2012 by two Stanford Computer Science professors,
Andrew Ng and Daphne Koller, with a mission to provide universal access to
world-class learning. It is now one of the largest online learning platforms
in the world, with 136 million registered learners as of September 30, 2023.

Coursera partners with over 300 leading university and industry partners to
offer a broad catalog of content and credentials, including courses,
Specializations, Professional Certificates, Guided Projects, and bachelor’s
and master’s degrees. Institutions around the world use Coursera to upskill
and reskill their employees, citizens, and students in fields such as data
science, technology, and business. Coursera became a B Corp in February 2021.

Join us in our mission to create a world where anyone, anywhere can transform
their life through access to education. We're seeking talented individuals who
share our passion and drive to revolutionize the way the world learns.

**We at Coursera are committed to building a globally diverse team and are
thrilled to extend employment opportunities to individuals in any country
where we have a legal entity. We require candidates to possess eligible
working rights and have a compatible timezone overlap with their team to
facilitate seamless collaboration. As a remote-first company, our interviews
and onboarding are entirely virtual, providing a smooth and efficient
experience for our candidates.**

 **Job Overview:**

We are looking for a talented Staff Machine Learning Scientist (Growth) to
join our team and support growth initiatives focused on increasing user
conversion for a rapidly expanding line of business. You will work closely
with our data science, product, and marketing teams to develop personalized
models and algorithms, analyze data, and make data-driven decisions to boost
user engagement and conversion rates. Your focus will be on enhancing
personalization, refining marketing strategies, building propensity models,
and developing next best action models for hyper-personalization to drive user
growth.

**Responsibilities:**

  * Develop and implement machine learning models for user conversion optimization, personalization, propensity modeling, and next best action recommendations using advanced machine learning such deep learning & reinforcement learning
  * Work directly with marketing teams to refine strategies and targeting methods for user acquisition and retention
  * Collaborate with cross-functional teams to identify growth opportunities and insights through personalized user experiences and targeted marketing initiatives
  * Analyze user behavior, interests, and preferences to tailor marketing and content recommendations
  * Build and maintain next best action models to determine the most effective content or marketing initiatives for individual users at any given time
  * Design and conduct A/B tests to measure the effectiveness of new features, marketing initiatives, and hyper-personalization strategies

**Basic Qualifications:**

  * Masters degree in Statistics, Optimization, Computer Science, or a related STEM fieldStrong background in optimization, statistics, deep learning, and causal modeling
  * Previous experience in machine learning, data science, or a related field, specifically in a marketing or growth context
  * Ability to translate complex algorithm outputs into actionable marketing insights and strategies
  * Background in data analysis and visualization tools
  * Proficiency in Python & SQL

**Preferred Qualifications:**

  * PhD in Statistics, Optimization, Computer Science, or a related STEM field
  * Experience with marketing analytics & audience building, Large Language Models, propensity modeling, reinforcement learning, bandit algorithms, and/or personalized marketing algorithms especially with constraints such as multi-objective optimization
  * Extensive experience (8+ years) in machine learning, data science, or a related field, specifically in a marketing or growth context
  * Familiarity with data engineering, SQL, and cloud-based infrastructure (AWS, GCP, or Azure)Exceptional analytical skills and ability to derive insights from data to inform decision-making, familiarity with customer journey mapping, customer segmentation, and user behavior analysis
  * Strong communication and collaboration skills, with experience in translating complex analysis results to a non-technical audience

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

  * [**_Artificial Intelligence in Marketing_**](https://www.coursera.org/learn/uva-darden-artificial-intelligence-marketing)
  * [**_Machine Learning Specialization: DeepLearning.AI_**](https://www.coursera.org/specializations/machine-learning-introduction?utm_medium=sem&utm_source=gg&utm_campaign=B2C_NAMER_machine-learning-introduction_stanford_FTCOF_specializations_country-US-country-CA&campaignid=685340575&adgroupid=146515176429&device=c&keyword=&matchtype=&network=g&devicemodel=&adposition=&creativeid=650958766230&hide_mobile_promo&gclid=CjwKCAjw2K6lBhBXEiwA5RjtCQTI_9vqUWzznnvlsNGn4vI9oBqOLlMakC1iQw5RjuG2CKiiKJEpJxoC73YQAvD_BwE)

**Compensation:**

Our job titles may span more than one career level. The starting base pay for
this role is between $157,000 - $232,000. The actual base pay is dependent
upon many factors, such as: training, transferable skills, work experience,
business needs, and location. The base pay range is subject to change and may
be modified in the future. This role may also be eligible for bonus, equity,
and benefits.

###### #LI-CP1

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.



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

For our Global Candidates, please review our [GDPR Recruitment
Notice](https://drive.google.com/file/d/1hlfSN3KDu9VH44MhZv5wrw2wf1uiRF-C/view?usp=sharing)
here.



#LI-Remote

