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Coursera Data Science Jobs (NOW HIRING)

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Curriculum Product Manager

Mountain View, CA

Here's what you'll do: * Be accountable for co-creating AI/ML courses on Coursera and the ... A PhD in Math, Data Science, Computer Science or a related field. * Previous experience developing ...

SRI Tech solutions Inc

SDET

Redmond, WA · On-site

$56 - $72.25/hr

Data Science and Machine Learning experience (eg. taken online courses on Coursera etc) Thanks and Best Regards, Harika Kollu IT Recruiter SRI Tech Solutions Inc. (T) (813) 423-6500 Ext 151, (M) 206 ...

career

Curriculum Product Manager

Mountain View, CA · On-site

Here's what you'll do: * Be accountable for co-creating AI/ML courses on Coursera and the ... A PhD in Math, Data Science, Computer Science or a related field. * Previous experience developing ...

MediaAlpha

Senior Software Engineer

Bellevue, WA

$142K - $212K/yr

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The ... Professional development reimbursement along with a subscription to Coursera * Cell Phone, Wellness ...

MediaAlpha

Senior Software Engineer

Bellevue, WA · On-site

$142K - $212K/yr

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The ... Professional development reimbursement along with a subscription to Coursera * Cell Phone, Wellness ...

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How much do coursera data science jobs pay per year?

As of Jun 7, 2026, the average yearly pay for coursera data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Coursera Data Science position, and why are they important?

To thrive in a Data Science role at Coursera, you need a strong background in statistics, machine learning, and programming languages such as Python or R, along with a relevant degree in computer science, mathematics, or a related field. Experience with data visualization tools (e.g., Tableau), big data platforms (e.g., Spark, Hadoop), and certifications in data science or analytics are highly valuable. Strong problem-solving skills, communication abilities, and a collaborative mindset help you effectively translate complex data into actionable insights and work seamlessly within multidisciplinary teams. These skills are important to drive data-informed decisions that support Coursera's mission of delivering effective and impactful online education.

What types of projects do Data Science professionals typically work on at Coursera?

As a Data Science professional at Coursera, you may work on projects such as analyzing user engagement data to improve learning outcomes, developing recommendation systems for course suggestions, or building predictive models to forecast student success. You'll often collaborate with product managers, engineers, and educators to interpret data trends and implement insights that enhance the learner experience. The work environment is dynamic and team-oriented, allowing data scientists to contribute ideas and solutions that directly impact Coursera’s global learning platform. This collaborative approach also offers great opportunities for professional growth as you adapt to new technologies and expand your data science expertise.

What is a Coursera Data Science job?

A Coursera Data Science job typically refers to roles that require skills taught in Coursera's data science courses, such as data analysis, machine learning, and statistical modeling. These jobs can include positions like Data Analyst, Data Scientist, or Machine Learning Engineer across various industries. Employers often seek candidates with proficiency in programming languages like Python or R, data visualization, and data manipulation techniques. Many professionals use Coursera certifications to demonstrate expertise and enhance their career prospects in data science.

What is the salary of data analyst in Coursera?

The salary of a data analyst working at Coursera typically ranges from $60,000 to $80,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, and data visualization can earn higher salaries.
More about Coursera Data Science jobs
What are the most commonly searched types of Coursera Data Science jobs? The most popular types of Coursera Data Science jobs are:
What states have the most Coursera Data Science jobs? States with the most job openings for Coursera Data Science jobs include:
What job categories do people searching Coursera Data Science jobs look for? The top searched job categories for Coursera Data Science jobs are:
Coursera Data Science jobs near you
Infographic showing various Coursera Data Science job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Curriculum Product Manager

career

Mountain View, CA

Full-time

Posted 8 days ago

Job description

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.
 
DeepLearning.AI is looking for a Curriculum Product Manager to work with our network of world experts in the AI space to create high-quality education content. In this role, you will leverage your expertise in learning experience design to help AI experts produce high-quality courses and effective learning experiences. Your experience as an educator, your technical skills in the AI space, and your ability to communicate and work well with a team will all be critical for this role.
 
 
You must already have authorization to work in the United States. 
 
This is an on-site position, 5 days per week in the office.
Here’s what you’ll do:
  • Be accountable for co-creating AI/ML courses on Coursera and the DeepLearning.AI platform through partnerships with world-class AI experts.
  • Be the authority on the course creation process and guide the Subject Matter Experts (SMEs) and other content development partners through it.
  • Ensure consistently high content quality by holding the bar for technical content that is accurate, engaging, and effective, and guide and support the team, including the SME in reaching that bar. 
  • Develop an independent perspective on the material being taught so that you can flex to assist the SME in fleshing out the topic and/or assist the content development team in creating relevant learning material if needed. 
You will do this by:
  • Quickly learning about the course topics from journal articles and other technical material.
  • Assessing how the SME’s expertise can best be utilized, and directing the work of other team members to effectively deliver high-quality content in a timely manner.
  • Reviewing and providing constructive feedback on technical AI content created by the SMEs and others, and determining how it can be converted into a high-quality learning experience through improvements to the words, visuals, code, and overall flow of ideas.
  • Tracking the creation and external review of all elements of the course, and creating them yourself if need be. 
  • Working closely with a production and visual design team to record videos, add visual design, and deliver high-quality multimedia content to support the curriculum.
Here are the skills you should have:
  • Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning  such as DLAI’s Deep Learning Specialization. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required. 
  • In-depth knowledge of instructional design best practices, with experience in designing, structuring, and teaching technical courses. Demonstrated ability to create interactive, applied learning experiences.
  • Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or equivalent industry experience with hands-on expertise in data science,  machine learning or software development.
  • Excellent communicator and team player with the ability to author and edit high-quality written content in English.
  • Familiarity with prompting and GenAI tools.
Bonus if you have:
  • A PhD in Math, Data Science, Computer Science or a related field. 
  • Previous experience developing online asynchronous curriculum in the areas of GenAI, AI, machine learning, data science, robotics, or similar.
  • Research or industry experience as a data scientist, machine learning engineer, or similar.
What you get working with us:
  • Being part of a world-class team of subject matter experts from various fields (marketing, operations, product, etc.) trying to change the world.
  • Work across cultural and geographical lines alongside our offices in different parts of the world.
  • A culture of lifelong learning is supported with a monthly stipend for professional development.
  • The opportunity to be exceptionally creative with your high-impact ideas.
What we offer:
  • DeepLearning.AI offers a competitive salary, flexible. Individual compensation offers will vary based on factors such as geographic location, work experience, education/training, and skill level. DeepLearning.AI offers a comprehensive benefits package including medical, dental, and vision coverage, a 401(k) plan, a monthly education stipend, flexible PTO, and much more.
Our defining values:
  • We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.
  • We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and the people we hire.
  • We default to action: We are comfortable acting with limited information and taking ownership of our decisions. 
  • We ask why: We ask the hard questions and are open to being in the wrong. We advocate for the best ideas, not our ideas. 
  • We are honest and authentic: We are transparent as an organization, over-communicate to build trust, and share our failures just as we do our successes.
  • We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.
At DeepLearning.AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. DeepLearning.AI believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.