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Coursera Data Science Jobs (NOW HIRING)

NY · On-site

$100 - $130/hr

Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning ... Talks, Coursera and Udemy Business materials and trainings.* **Practical benefits:** private ...

New

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 ...

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 ...

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 ...

SDET

Redmond, WA

$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 ...

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 ...

Showing results 21-40

Coursera Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do coursera data science jobs pay per year?

As of Aug 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?

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 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:
Infographic showing various Coursera Data Science job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

$100 - $130/hr

Other

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Posted 2 days ago

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Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

99th of 223 rated it services


Job description

# Azure Data EngineerWarszawa, Kraków, Wrocław, Poznań, GdańskApply for this job* Permanent* Experienced Professionals* Data & AI* ID 363253-en\_GB##Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.## **YOUR TEAM**Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision.## **YOUR TASKS*** Design and implementation of solutions processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture);* Implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment;* Data processing efficiency improvement, migrations from on-prem to public cloud platforms.## **YOUR PROFILE*** At least 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle);* Practical knowledge of the Azure cloud in Storage, Compute (+Serverless), Networking and Devops areas supported by commercial project work experience;* Theoretical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400);* Familiarity with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, API Azure, Azure Function, Power BI;* At least basic knowledge of one of this programming languages: Python/Scala/Java/Bash;* Very good command of English (German language would be an advantage).## **WHAT YOU'LL LOVE ABOUT WORKING HERE?*** **Enjoy hybrid working model****that fits your life** - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.* **Access to over 70 training tracks****with certification opportunities** (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.* **Practical benefits:** private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Medicover Sport.## **GET TO KNOW US**Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.## **ABOUT CAPGEMINI**Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. #J-18808-Ljbffr

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