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Coursera Data Science Jobs (NOW HIRING)

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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 ...

career

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 ...

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 ...

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 ...

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 ...

Saviance

Data and Integration Engineer

$106K - $143K/yr

Agile and Design Thinking (Coursera). Critical thinker. Demonstrated problem solving techniques ... Computer and Information Science (Preferred) Must have: SnapLogic SQL Oracle

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Coursera Data Science information

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$37.5K

$122.7K

$196.5K

How much do coursera data science jobs pay per year?

As of Jun 27, 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 the job market. Certifications from Coursera are valuable but are typically combined with practical experience and other qualifications for hiring decisions.

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

A certificate in data science 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 involving tools like SQL and Tableau.

Is Coursera worth it for data science?

Coursera offers data science courses and specializations that can help develop relevant skills such as programming, statistics, and machine learning. Many courses provide certificates that can enhance a resume, but the value depends on individual goals and prior experience. It is a cost-effective way to gain foundational knowledge and practical skills for data science roles.

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 data analysis, which can enhance a candidate's resume. However, employers often prioritize practical experience, portfolio projects, and skills in tools like Python, R, and SQL over certificates alone. Combining certificates with hands-on projects increases job prospects in data science positions.
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 June 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Artificial Intelligence (AI) Engineers

Substance | Level Up by Substance

Remote

$117K - $140K/yr

Full-time

Posted 4 days ago

Job description

We're seeking a highly skilled AI Engineer. Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions.
Key Responsibilities:
  • Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges.
  • Design scalable data pipelines and preprocess datasets for training and inference.
  • Collaborate with cross-functional teams to integrate AI models into existing systems.
  • Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
  • Conduct error analysis and improve models to address bias, fairness, and explainability.
  • Document technical processes and results, ensuring knowledge sharing within teams.

What We're Looking For:
Technical Skills:
  • Proficiency in programming languages like Python, R, or Java.
  • Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics.
  • Expertise in at least one domain:
  • Natural Language Processing (NLP)
  • Computer Vision
  • Reinforcement Learning
  • Generative AI (e.g., GPT, Stable Diffusion)
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
  • Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization).

Soft Skills:
  • Ability to explain complex AI concepts to non-technical stakeholders.
  • Strong problem-solving and critical-thinking skills.
  • Passion for continuous learning and staying updated with the latest AI trends.

Requirements
Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
  • Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.

Benefits
  • Exposure to international markets and the opportunity to work with a diverse team
  • Flexible remote working arrangements
  • Innovative environment

At Substance, we're all about action, not just talk. If your profile aligns with what we need, you'll hear from us within 1-2 weeks. If not, no fluff-just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we'll be ready to make it happen.
Getsubstance.co Pte. Ltd. EA License No: 24C2398

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