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Big Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Prophecy Technologies

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ Role Overview: We ... data scientists, analysts, and application teams to deliver high-quality data solutions. • ...

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 ...

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 ...

Omega Solutions, Inc.

Senior Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

... data scientists, and optimizing data processes to enhance compliance systems. Responsibilities ... big data' data pipelines, architectures and data sets. • Experience performing root cause ...

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 ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build scalable, production-ready data science solutions. Key Responsibilities Structured Data - Machine ...

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Big Data Scientist information

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$46K

$165K

$243.5K

How much do big data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for big data scientist 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 big data scientist?

Big Data Scientists are professionals who analyze and interpret large, complex data sets to uncover patterns, trends, and insights that help organizations make data-driven decisions. They use advanced analytics, machine learning, and statistical modeling techniques to process and extract value from massive volumes of structured and unstructured data. Their work often involves programming, data mining, and working with big data technologies such as Hadoop and Spark.

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

To thrive as a Big Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Expertise with big data technologies such as Hadoop, Spark, and experience with cloud platforms and relevant certifications (like AWS Certified Data Analytics) are highly valuable. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating complex data insights to stakeholders. These capabilities are essential for extracting actionable, high-impact insights from massive datasets to drive business decisions.

What are some common challenges big data scientists face when working with large datasets, and how can they be addressed?

Big Data Scientists often encounter challenges such as handling data quality issues, ensuring data security, and managing the complexity of distributed computing environments. Large datasets frequently contain inconsistencies or missing values, requiring robust data cleaning and preprocessing techniques. Additionally, working with distributed systems like Hadoop or Spark introduces complexities around data storage, processing speed, and coordination with engineering teams. To address these challenges, it’s important to stay updated on best practices, leverage automation tools, and maintain close collaboration with data engineers and IT teams.

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

AspectBig Data ScientistData Analyst
Required CredentialsAdvanced degrees in Data Science, Computer Science, or related fields; certifications like Cloudera, HortonworksBachelor's or Master's in Statistics, Data Analysis, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentBig data platforms, cloud environments, programming in Python, R, ScalaExcel, SQL, visualization tools, basic scripting
Employer & Industry UsageTech companies, finance, healthcare, e-commerce handling large datasetsRetail, marketing, small to medium businesses analyzing customer data

Big Data Scientists focus on developing models and algorithms to analyze vast datasets using advanced tools and programming. Data Analysts interpret data, generate reports, and provide insights primarily through visualization and SQL queries. Both roles are essential but differ in complexity, tools, and scope of data handled.

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Big Data Scientist jobs near you
Infographic showing various Big Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - Signal Analysis with Security Clearance

Colorado Springs, CO • On-site

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

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

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. Create a Job Alert Interested in building your career at Assertive Professionals? Get future opportunities sent straight to your email. Create alert

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