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Coursera Data Science Jobs (NOW HIRING)

NY · On-site

$90 - $130/hr

Informed and validated by science and data. Superpowered by creativity and design. All underpinned ... platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.

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Access to Ampli-Academy, LinkedIn Learning, Coursera, team training, and additional specialized ... Bachelor's degree in data science, engineering, information systems, analytics, or a related field ...

$90 - $130/hr

Ensure integrity of data. Interpret results within relevant context, draw the right conclusions and ... Technical expert studies with PhD with 3 years of relevant experience or Master of Science with 6 ...

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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 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.

Senior Decision Science Analyst - P&C Claims GenAI

USAA

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

51st of 170 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

We are seeking a skilled Senior Decision Science Analyst to join our team in a role that encompasses several critical areas of expertise. This individual will be responsible forAI Decision Evaluation & Optimization, ensuring that GenAI-generated recommendations are assessed, validated, and enhanced to drive superior business outcomes and decision quality. A strong background inExperimentation & Causal Analyticsis essential, with a proven ability in A/B testing, causal inference, and impact measurement to quantify the true business value of GenAI solutions and differentiate correlation from causation. Furthermore, proficiency inUnstructured Data & NLP Analyticswill be vital for extracting insights from diverse text-based data sources such as claims notes and documents, utilizing NLP and semantic analysis techniques.

The role also demands a commitment toResponsible AI & Governance, including a solid understanding of AI risks, bias detection, explainability, compliance, and governance to ensure AI-assisted decisions are trustworthy and auditable. Finally, the candidate must possess strongBusiness Translation & Decision Intelligencecapabilities, enabling them to translate complex business problems into AI-driven decision strategies, define key success metrics, and integrate GenAI seamlessly into operational workflows.

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 four days per week.

What you'll do:

  • Leverages advanced business, analytical and technical knowledge to participate or 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 medium to large scale with significant impact to current and/or future business strategy.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
  • Translates recommendation into communication materials to effectively present to various 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.
  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
  • Provides subject matter expertise in operationalizing recommendations.
  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).
  • 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).
  • 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:

  • 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing, etc.).
  • Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Advanced 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:

  • AI Decision Evaluation & Optimization - Ability to assess, validate, and improve GenAI-generated recommendations, ensuring they drive better business outcomes and decision quality.
  • Experimentation & Causal Analytics - Expertise in A/B testing, causal inference, and impact measurement to quantify the value of GenAI solutions and separate true business impact from correlation.
  • Unstructured Data & NLP Analytics - Ability to derive insights from claims notes, documents, communications, and other text-based data using NLP and semantic analysis techniques.
  • Responsible AI & Governance - Knowledge of AI risks, bias detection, explainability, compliance, and governance to ensure AI-assisted decisions are trustworthy and auditable.
  • Business Translation & Decision Intelligence - Ability to translate business problems into AI-enabled decision strategies, define success metrics, and embed GenAI into operational claims workflows.
  • US military experience gained through military service or gained as a military spouse / domestic partner

Compensation range: The salary range for this position is: $114,080 - $218,030.

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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