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Big Data Scientist 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 · 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 ...

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

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 ...

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How much do big data scientist jobs pay per year?

As of Jun 15, 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 are Big Data Scientists?

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

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 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.

What cities are hiring for Big Data Scientist jobs? Cities with the most Big Data Scientist job openings:
Big Data Scientist jobs near you

Lead Data Scientist - Big Data & Cloud Analytics

GARGI TECHNOLOGIES INC

Laurel, MD

Other

Posted 17 days ago

Job description

Job Title: Lead Data Scientist
Location: Onsite/ Hybrid
Experience: 4-8 Years

Position Overview

We are hiring a Lead Data Scientist to drive enterprise-level analytics initiatives and build scalable machine learning solutions using cloud and big data technologies.

Responsibilities
  • Lead large-scale data science projects
  • Architect scalable AI/ML solutions
  • Work with big data platforms and cloud infrastructure
  • Build real-time analytics pipelines
  • Collaborate with executive leadership
Required Skills
  • Expertise in Python, SQL, Spark, and Hadoop
  • Experience with AWS/Google Cloud Platform/Azure
  • Strong background in Machine Learning and Deep Learning
  • Experience with data engineering and MLOps
  • Leadership and stakeholder management skills
Preferred Qualifications
  • Prior experience leading data science teams
  • Experience in enterprise AI implementation

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