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Data Scientist Big Data Jobs (NOW HIRING)

RealmOne

Data Scientist 3

San Antonio, TX · On-site

They are seeking a Data Scientist 3 to perform tasks associated with Big Data Platform management, develop prototype algorithms, and support data visualization and analytics in the field of ...

CYNET SYSTEMS

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

Bachelor's degree in Computer Science, Data Engineering, or related field. * 3-5+ years of experience in big data engineering roles. * Proficiency with big data cloud platforms (AWS, Azure) and tools ...

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Data Scientist Big Data information

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

As of Sep 9, 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 is a data scientist big data?

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.

What are the key skills and qualifications needed to thrive as a data scientist big data?

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 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.

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Cities with the most Data Scientist Big Data job openings:

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Data Scientist Big Data jobs near you
Infographic showing various Data Scientist Big Data job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - Signal Analysis

Colorado Springs, CO • On-site

Assertive Professionals
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Assertive Professionalsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Key responsibilities

  • Conduct data science functions on structured and unstructured data to streamline intelligence analysis and production.

  • Develop and maintain Python code to support mission requirements, including debugging, refactoring, and documenting scripts.

  • Identify meaningful insights from data, interpret findings, and communicate recommendations to stakeholders.

Job description

Assertive Professionals is seeking a Data Scientist supporting our National Security customer in Colorado Springs, CO.

This is a proposed position, we are offering a salary of $160,000 with a $2,000 sign-on bonus, or reimbursable relocation.

This is a great opportunity to work for an employee-centric, fast-growing small business. We offer an excellent benefits package, including PTO (accrual rates vary by contract and customer requirements), 401(k) Match at 5%, Profit Sharing, Company-paid Life Insurance, Dental, Vision, STD/LTD, and two options under a national medical plan with employee contribution.There is an additional $1,200 annual corporate bonus for time and attendance compliance!

Responsibilities Include:

This position is responsible for conducting data science functions on structured and unstructured data to streamline intelligence analysis and production. The data scientist will work to enrich analytical results and will develop and maintain Python code in support of mission requirements.

Required Experience and Qualifications:

  • TS/SCI w/ CI Poly
  • 7 years of relevent experience
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or JupyterLabs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, querytechniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  •  Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  •  Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

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