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Data Scientist Big Data Jobs (NOW HIRING)

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and ...

Gormat

Data Scientist 3

San Antonio, TX

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

Jobsbridge

Big Data Scientist

San Francisco, CA · On-site

Statistical analysis expertise Data modeling, including reverse and forward engineering Database Design: RDMS along with Data Warehouse, Data Mart and Data Mining Data Modeling Tools: IBM Rational ...

Roberts Recruiting

Data Scientist

Cambridge, MA · On-site

Job Purpose We are seeking a data scientist who is interested in helping to build and scale genome ... analysis, big data and cloud development. The successful candidate will have the opportunity to ...

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All JobsData Scientist Big Data Jobs

Data Scientist Big Data information

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$46K

$165K

$243.5K

How much do data scientist big data jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data scientist big 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 are some common challenges Data Scientists face when working with big data, and how can they be addressed?

Data Scientists working with big data often encounter challenges such as handling data quality issues, ensuring scalable data processing, and integrating diverse data sources. To address these, it's important to use robust data cleaning techniques, leverage distributed computing frameworks like Spark or Hadoop, and collaborate closely with data engineers and domain experts. Staying up-to-date with the latest big data tools and maintaining clear documentation also help ensure efficient workflows and high-quality analyses.

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

AspectData Scientist Big DataData Analyst
Required CredentialsBachelor's/Master's in CS, Statistics, or related; often certifications in Big Data toolsBachelor's in Statistics, Math, or related; sometimes certifications in data analysis tools
Work EnvironmentTech companies, finance, healthcare; working with large-scale data systemsBusiness, marketing, finance; analyzing smaller datasets for insights
Employer & Industry UsageUsed in industries handling big data, such as tech, e-commerce, financeCommon across various industries for reporting and insights

While both roles analyze data, Data Scientist Big Data focuses on developing models and working with large-scale datasets using advanced tools, whereas Data Analysts interpret smaller datasets to generate reports and insights for decision-making.

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

To thrive as a Data Scientist in Big Data, you need strong skills in statistics, programming (Python, R, or Scala), and data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases, as well as experience with cloud platforms and relevant certifications, is essential. Critical thinking, problem-solving, and effective communication distinguish top performers in this role. These skills enable the extraction of actionable insights from massive datasets, driving informed business decisions and innovation.

What are Data Scientist Big Data professionals?

Data Scientist Big Data professionals are experts who analyze and interpret large and complex datasets, often referred to as 'big data', to extract valuable insights for organizations. They use advanced statistical, machine learning, and data engineering techniques to process massive volumes of structured and unstructured data. These professionals typically work with big data technologies like Hadoop, Spark, and NoSQL databases, and help companies make data-driven decisions to improve business outcomes.
More about Data Scientist Big Data jobs
What cities are hiring for Data Scientist Big Data jobs? Cities with the most Data Scientist Big Data job openings:
What states have the most Data Scientist Big Data jobs? States with the most job openings for Data Scientist Big Data jobs include:
What job categories do people searching Data Scientist Big Data jobs look for? The top searched job categories for Data Scientist Big Data jobs are:
Data Scientist Big Data jobs near you
Infographic showing various Data Scientist Big Data job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 4% Part Time, 13% Temporary, and 33% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist/Big Data Architect

Data Scientist/Big Data Architect

Apex Informatics

Irving, TX • On-site

Contractor

Posted 22 days ago

Job description

Job Title- Data Scientist/Big Data Architect
Location- Irving Texas 75062 (Hybrid), (3 days onsite/2 WFH)
Duration- 09 Months Contract
Job Description:
Required Qualifications:
• 5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure)
• 4+ years of Linux experience
• 2+ years of experience with Artificial Intelligence, Business Intelligence or Machine Learning
• Knowledge and understanding of Machine Learning, Deep Learning, Linear Regression, Models (Tensor Flow), Business Intelligence and Analytics
• Experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant
• Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and MapR
• Ability to lead projects/initiatives with high risk and complexity

Apply