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Coursera Data Science Jobs (NOW HIRING)

... in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely ... Data Analyst, Coursera/Google Data Analytics) • Support Board‑level reporting needs in ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

... the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

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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 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:
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.
Reporting Data Scientist

Reporting Data Scientist

AECOM

Sacramento, CA • On-site

Full-time

Re-posted 6 days ago


AECOM rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

13th of 80 rated construction


Job description

Job Summary:
AECOM is a global infrastructure consulting firm dedicated to delivering a better world. They are seeking a Reporting Data Scientist to support enterprise-level decision-making through advanced analytics, predictive models, and automated reporting solutions, transforming complex data into meaningful insights for leadership and stakeholders.
Responsibilities:
• Develop, maintain, and continuously improve program‑wide data models, analytics frameworks, and reporting workflows.
• Build predictive and statistical models to forecast cost, schedule, risks, and performance metrics.
• Create automated dashboards, visualizations, and analytical tools using Power BI and other platforms.
• Conduct detailed data analysis to identify trends, anomalies, performance drivers, and optimization opportunities.
• Partner with cost, schedule, and risk management leads to integrate data and produce unified analytical outputs for executive‑level decision‑making.
• Support monthly and quarterly reporting cycles by preparing accurate, validated datasets and generating analytical insights.
• Assess opportunities to automate manual reporting processes and streamline data flows.
• Establish data quality standards and quality‑assurance procedures for program data.
• Collaborate with project teams to gather, validate, and consolidate data from multiple systems and sources.
• Present analytical findings, dashboards, and recommendations to Executive Management, program committees, and other stakeholders.
Qualifications:
Required:
• BA/BS + 10 years of relevant experience or demonstrated equivalency of experience and/or education
Preferred:
• MBA
• PMP
• Master’s degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely related field.
• Demonstrated experience producing data analytics, modeling, and reporting for senior‑level audiences.
• Experience implementing data strategies, analytics workflows, and reporting processes in a large program or enterprise environment.
• Experience managing or contributing to analytics/reporting teams on major programs.
• Strong knowledge of data management, business intelligence, document control, project controls, and management reporting techniques.
• Ability to coordinate with cross‑functional stakeholders and obtain accurate, timely data inputs.
• Ability to develop and implement methodologies for analytics, reporting, dashboards, and visualization.
• Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data Analytics)
• Support Board‑level reporting needs in collaboration with the Finance Office.
• Proficient in Visualization of Kanban boards and building dashboards for project controlling.
• Proficient in desktop publishing software, Visio, and professional graphics software
• Proficient with data analytics tools such as PowerBI.
• Experience building Kanban‑style or Agile process visualizations.
• Strong proficiency with data analysis, statistical tools, and modern programming languages (e.g., Python, R).
• Excellent communication skills, including the ability to convey complex data clearly and tactfully to diverse audiences.
Company:
AECOM is the global infrastructure leader, committed to delivering a better world. Founded in 1990, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

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