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Coursera Data Science Jobs (NOW HIRING)

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 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

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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.
Decision Science Analyst Lead

Decision Science Analyst Lead

USAA

Colorado Springs, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 260 frontline employees who took The Breakroom Quiz

40th of 149 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

Our Decision Science Analyst Lead provides decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site 4 days per week.

Relocation assistance is not available for this position.

What you'll do:

  • Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
  • Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.
  • Organizes and oversees the development of requirements/resources necessary to meet established objectives.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change.
  • Translates recommendation into communication materials to effectively present to all levels of management.
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
  • Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.
  • Provides subject matter expertise in operationalizing recommendations.
  • Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g.Certifications or advanced coursework).
  • Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
  • 8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
  • Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

  • Prior U.S. military service or being a military spouse/domestic partner is highly valued.
  • Proficiency in analyzing marketing campaign performance and identifying optimization opportunities.
  • Experience orchestrating projects that require collaboration and alignment among various functional groups.
  • Experience leveraging customer interaction data (digital, phone) to identify trends, patterns, and opportunities for improved customer experiences.

Compensation range: The salary range for this position is: $131,240 - $250,850.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

 

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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