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Data Scientist Big Data Jobs (NOW HIRING)

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

The Data Scientist will work as part of a research-focused team to advance national security ... Analyze a variety of big data covering national security, cybersecurity, business intelligence ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Product Pulse is seeking a Data Scientist to help us unlock the value in our data.WHAT YOU NEED TO ... Experience with big data tools is a plus.APPLY TODAY If you're ready to make data actionable and ...

1872 Consulting

Applied Data Scientist

Manhattan, NY · On-site

Job Summary : 1872 Consulting is seeking an Applied Data Scientist to work on customer-facing projects that integrate data science with machine learning and big data technologies. The role involves ...

SRP Systems Inc

Senior Data Scientist

Princeton, NJ

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Title: Senior Data Scientist for a ...

Ruri Software Technologies LLC

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka ... Collaborate with the data scientists to organize huge sets of data for data modeling. * Recommend ...

SRP Systems Inc

Senior Data Scientist

Princeton, NJ · On-site

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Title: Senior Data Scientist for a ...

Sunixa Solutions Inc

Data Scientist

Overland Park, KS · On-site

$50 - $55/hr

# Only on W2 DATA SCIENTIST Location: Overland park, Kansas Exp: 6-7+ Duration: Long term Job Summary ... Big Data technologies - Spark, Hadoop (plus point)Experience with Cloud platforms - AWS / Azure ...

Jobsbridge

Big Data Engineer

Los Angeles, CA · On-site

$60 - $79.50/hr

Having the dynamic ability to adapt to conventional big-data frameworks and tools with the use-cases required by the project Ability to communicate with research teams and data scientists, finding ...

Omega Solutions, Inc.

Big data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Omega Solutions, Inc. is seeking a Big Data Engineer to join their team. The role involves working ... science libraries on data validation Company : Omega was incorporated in 2007 in the State of ...

Cymertek Corporation

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position ... DEGREE (Level Desired)Bachelor's Degree DEGREE (Focus)Computer Science, Data Science, Information ...

Saviance

Data Scientist

Boston, MA · On-site

BigR.io is a technology consulting firm specializing in Big Data and Machine Learning solutions. They are seeking a passionate Data Scientist to work on advanced applications of Machine Learning ...

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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 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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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

Chantilly, VA • On-site

Data Computer Corporation of America
See more jobs at Data Computer Corporation of Americaexternal

Full-time

Medical, Life, Retirement, PTO

Posted 27 days ago

Key responsibilities

  • Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.

  • Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services.

  • Translate complex analytical findings into intuitive dashboards, reports, and visualizations to support executive decision-making.

Job description

DCCA is a veteran-owned high-technology company specializing in providing information technology services to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer a strong, competitive compensation and benefits package. Visit our website at: www.dcca.com .
Data Scientist
CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly
For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.
Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.
Key Tasks:
  • Advanced Analytics & Modeling: Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.
  • Data Processing & Pipeline Integration: Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services (e.g., AWS Glue, Apache Kafka).
  • Anomaly Detection & Fraud Prevention: Implement advanced algorithms (such as Isolation Forests) to detect anomalies in large transactional or operational datasets, enhancing audit efficacy and risk mitigation.
  • Data Visualization & Reporting: Translate complex analytical findings into intuitive dashboards, reports, and interactive visualizations using tools like Amazon QuickSight, Tableau, or Power BI to empower executive decision-making.
  • Cross-Functional Collaboration: Collaborate with cross-functional Agile teams, subject matter experts, and AI/ML engineers to seamlessly integrate data science models into production applications and microservices.
  • Security & Data Governance: Ensure all data handling and model deployments strictly adhere to federal data privacy regulations, HIPAA, the Privacy Act, and DoD/NIST security standards.
  • Continuous Improvement: Monitor model performance in production environments, retraining and tuning models as necessary to prevent drift and ensure sustained accuracy over time.

Required Skills:
  • Experience: Minimum of 5+ years of professional experience in data science, advanced analytics, or machine learning engineering.
  • Programming Languages: High proficiency in Python and R for data manipulation and modeling, as well as strong advanced SQL skills for complex database querying (e.g., PostgreSQL, Oracle).
  • Machine Learning Frameworks: Extensive hands-on experience with core ML and data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
  • Cloud & Big Data: Demonstrated experience operating within cloud ecosystems (AWS GovCloud preferred) and utilizing big data technologies and data lakes (e.g., AWS S3, EMR, Redshift).
  • Clearance: TS/SCI w/Poly.

Desired Skills :
  • Prior experience supporting federal government agencies (e.g., Intelligence Community) with complex data analytics.
  • Familiarity with Natural Language Processing (NLP) and Edge AI applications.
  • Experience with DevSecOps practices, CI/CD pipelines, and version control (e.g., Git) for collaborative model development (MLOps).
  • Active industry certifications (e.g., AWS Certified Data Analytics, AWS Certified Machine Learning, or equivalent).

Education/Certifications:
  • Education: Bachelor's or master's degree in data science, Statistics, Applied Mathematics, Computer Science, or related quantitative discipline.

The proposed salary range for this position in Virginia is 195,000 to 260,000. Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.
At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits.
Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships.
Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page.
Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems.
Equal Opportunity Employer including Disability/Vets

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