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Coursera Data Science Jobs (NOW HIRING)

AI Fund

Curriculum Product Manager

Responsibilities : • Be accountable for co-creating AI/ML courses on Coursera and the ... Preferred : • A PhD in Math, Data Science, Computer Science or a related field. • Previous ...

USAA

Decision Science Analyst Senior

San Antonio, TX · On-site +1

$79K - $105K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

San Antonio, TX · On-site

$79K - $104K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

Phoenix, AZ · On-site +1

$87K - $115K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

Tampa, FL · On-site +1

$83K - $110K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

New

USAA

Decision Science Analyst Senior

Phoenix, AZ · On-site +1

$85K - $113K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

Plano, TX · On-site +1

$84K - $111K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

Plano, TX · On-site +1

$84K - $112K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

Tampa, FL · On-site +1

$83K - $110K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

San Antonio, TX · On-site +1

$79K - $104K/yr

... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

career

Curriculum Product Manager

Mountain View, CA

$150K - $180K/yr

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 ...

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Coursera Data Science information

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How much do coursera data science jobs pay per year?

As of Jul 17, 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.

Can you get a job after completing Coursera?

Completing a Data Science course on Coursera can improve your skills and credentials, potentially increasing your chances of securing a data science or related role. However, employment depends on factors such as experience, portfolio, interview performance, and job market conditions. Certifications from Coursera can complement a strong resume but are usually part of a broader qualification profile.

What jobs can I get with a certificate in data science?

A data science certificate can qualify you for roles such as data analyst, data scientist, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often supported by hands-on experience with tools like SQL and Tableau.

Is Coursera worth it for data science?

Coursera offers data science courses and specializations from reputable universities and companies, providing flexible online learning options and recognized certifications. It can be valuable for developing skills in programming, statistics, and machine learning, which are essential for data science roles. However, the value depends on individual goals and the effort put into applying learned concepts in practical projects.

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.

Are Coursera certificates worth it to get a job?

For a Data Science role, Coursera certificates can demonstrate foundational knowledge in programming, statistics, and machine learning, which are valuable skills in the field. While they can enhance a resume and show commitment to learning, employers often prioritize practical experience and project work alongside certifications.
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 July 2026, with employment types broken down into 1% Locum Tenens, 20% Internship, 54% As Needed, 1% Full Time, 23% Nights, and 1% Summer. Highlights an 71% Physical, 13% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Curriculum Product Manager

Curriculum Product Manager

AI Fund

Remote

Full-time

Re-posted 13 days ago

Job description

Job Summary:
DeepLearning.AI is an education technology company focused on empowering the global workforce to build an AI-powered future through quality education and hands-on training. They are seeking a Curriculum Product Manager to co-create AI/ML courses and ensure high-quality content by collaborating with AI experts and guiding the content development process.
Responsibilities:
• 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.
• 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.
Qualifications:
Required:
• Authorization to work in the United States.
• 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.
• 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.
Preferred:
• 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.
Company:
AI Fund is a venture studio that co-founds AI companies alongside founders, VCs, and corporate partners. Founded in 2017, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.

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