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Data Scientist Data Jobs (NOW HIRING)

Title: Data Scientist Location: Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on ...

Data Scientist Palantir ( GenAI MLOps Engineer) * Location: Jersey City, NJ (onsite) * Experience: 15+ years * NOTE:- Candidate must be ready to join onsite from day 1 at Jersey City office if ...

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Data Scientist Location: Baltimore, MD (Onsite) Hiring Type: Contract Job Summary: We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal ...

They are seeking a talented Data Scientist to analyze, model, and transform data into actionable solutions, collaborating with cross-functional teams and leveraging advanced analytics techniques.

We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise-wide AI vision and strategy. This role is a bridge between tactical execution and long-term ...

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience required : 8 - 9 + Must Have skills: create & Implemented AI/ML model experience, create Data pipelines ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

DATA SCIENTIST

Albany, GA · On-site

$125K/yr

You will serve as a DATA SCIENTIST in the COMMAND DATA ANALYTICS OFFICE of MARINE CORPS LOGISTICS COMMAND.Qualifications:In addition to the Basic Requirements for this position, your resume must also ...

DATA SCIENTIST

Albany, GA · On-site

$125K/yr

You will serve as a DATA SCIENTIST in the COMMAND DATA ANALYTICS OFFICE of MARINE CORPS LOGISTICS COMMAND.Qualifications:In addition to the Basic Requirements for this position, your resume must also ...

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Data Scientist Data information

See salary details

$46K

$165K

$243.5K

How much do data scientist data jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data scientist data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Scientist Data vs Data Analyst?

AspectData Scientist DataData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; often includes certifications in machine learning or data analysis toolsDegree in Statistics, Mathematics, or related fields; certifications in data visualization or analysis tools are common
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning algorithms; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions; typically in business intelligence teams
Employer & Industry UsageUsed across tech, finance, healthcare, and e-commerce industries for complex data modelingCommon in retail, marketing, finance, and healthcare for reporting and data interpretation

While both roles analyze data, Data Scientist Data focuses on building predictive models and advanced analytics, whereas Data Analysts primarily interpret data and generate reports for decision-making. The roles often overlap but differ in complexity and scope.

What are some common challenges Data Scientists face when working with large datasets, and how can they be addressed?

Data Scientists often encounter challenges such as data quality issues, scalability concerns, and long processing times when working with large datasets. To address these, it's common to use distributed computing tools like Apache Spark or Hadoop, and to implement efficient data cleaning and preprocessing pipelines. Collaborating closely with data engineers can also help optimize data storage and retrieval. Additionally, adopting best practices in code versioning and documentation ensures that models and analyses are reproducible and scalable as data grows.

What are Data Scientists?

Data Scientists are professionals who analyze and interpret complex digital data to help organizations make informed decisions. They use a combination of statistics, machine learning, programming, and domain expertise to extract insights from large datasets. Data Scientists often work with tools such as Python, R, and SQL, and collaborate with teams to develop predictive models, visualize data, and solve business problems. Their work is crucial in fields like finance, healthcare, technology, and marketing.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, often supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools such as Tableau or Power BI is typically required. Strong problem-solving abilities, effective communication, and curiosity help a Data Scientist translate complex data into actionable insights. These skills are vital for extracting value from data, informing business decisions, and driving innovation within an organization.
More about Data Scientist Data jobs
What cities are hiring for Data Scientist Data jobs? Cities with the most Data Scientist Data job openings:
What states have the most Data Scientist Data jobs? States with the most job openings for Data Scientist Data jobs include:

Job description

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

The Royal Caribbean Groups AI and Analytics  Team has an exciting career opportunity for a full-time  Scientist, Data reporting to the Senior Manager, Data Analytics & AI

The position is onsite and based in Miami, Florida.

The position is also not eligible for work authorization sponsorship. 

Position Summary: 

We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise-wide AI vision and strategy. This role is a bridge between tactical execution and long-term strategic planning, requiring a visionary who can work independently and collaboratively with data analytics professionals across and outside Royal Caribbean Group to deliver transformative AI/ML solutions. The Data Scientist will frequently interface with senior stakeholders, providing thought leadership and regular updates on key analytics initiatives. This position demands top-tier technical expertise in machine learning & generative AI, combined with exceptional written and oral communication skills. The ideal candidate is a proven leader who pairs expert-level modeling and software engineering skills with outstanding stakeholder management and strategic program leadership. 


Essential Responsibilities: 

  • Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks. 
  • Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning. 
  • Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage). 
  • Design and execute A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact. 
  • Apply SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners. 
  • Contribute to CI/CD workflows (Azure DevOps), support data contracts with Data Engineering, and develop scalable API and batch-serving patterns. 
  • Communicate insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives. 


Qualifications / Knowledge / Skills:

  • 2-4 years of hands-on Data Science experience delivering production-grade ML solutions. 
  • Proficiency in Python (scikitlearn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or TensorFlow is a plus. 
  • Strong understanding of experimental design, statistical testing, and causal inference basics. 
  • Ability to translate technical concepts into actionable business insights; skilled in stakeholder alignment and cross-functional communication. 


Expectations by Dimension 

  • PredictiveModeling(ML) 
    Strong practitioner with experience in time series forecasting, price elasticity modeling, and panel data techniques. 
  • PrescriptiveModeling(Optimization/OR) 
    Foundational familiarity with linear and mixed-integer programming; experience or exposure to ORTools, Gurobi, or related optimizers. 
  • ModelExplainability 
    Working-level proficiency with SHAP, LIME, and other model transparency frameworks. 
  • SoftwareEngineeringSkills 
    Writes modular, maintainable code; participates in code reviews; implements unit and integration tests. 
  • A/Testing&Experimentation 
    Designs experiments with senior review; able to calculate significance, power, and interpret test outcomes. 
  • ChangeManagement&Communication 
    Provides regular updates to business partners; comfortable addressing stakeholder questions and concerns



Power Skills:

 

  • Action Oriented
  • Collaborates Effectively
  • Communicates Effectively
  • Drives Results
  • Situational Adaptability

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.