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Database Scientist Jobs in Alabama (NOW HIRING)

SOSi

Senior Data Scientist

Huntsville, AL

... databases, and working in command line interfaces. You will leverage scientific techniques to ... transform petabyte-scale data into insightful data products to enable data-driven decisions. You ...

VeeRteq Solutions Inc.

Data Scientist Location: Johns Creek GA (Hybrid) . Job Summary We are seeking a highly analytical ... Experience with SQL and database technologies. * Hands-on experience with machine learning ...

Saic

Data Scientist

Huntsville, AL · On-site

Description SAIC is seeking a Data Scientist to join our team in Huntsville, Alabama to support our ... Relational database expertise in database storage, SQL queries, and primary/foreign keys.

SAIC

Senior Data Scientist

Huntsville, AL · On-site

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... Relational database expertise in database storage, SQL queries, and primary/foreign keys.

4pconsultinginc

Data Scientist III

Birmingham, AL · On-site

Title: Data Scientist III Client: Alabama Power Location: Birmingham, AL Contract: 3 Years ... Strong SQL and database experience. * Experience deploying machine learning models into production.

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Database Scientist information

See Alabama salary details

$41.7K

$149.6K

$220.7K

How much do database scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for database scientist in Alabama is $149,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $154,100.00 per year, depending on experience, location, and employer.

What is a database scientist?

A Database Scientist is a professional who specializes in designing, managing, analyzing, and optimizing large volumes of structured and unstructured data stored in databases. They use advanced data science techniques, statistical analysis, and programming skills to extract valuable insights from complex datasets. Database Scientists often work with big data technologies, data warehousing solutions, and machine learning algorithms to help organizations make data-driven decisions. Their responsibilities may also include ensuring data quality, developing data models, and collaborating with other IT and business professionals.

How do database scientists typically collaborate with data engineers and analysts on large-scale projects?

Database Scientists often work closely with data engineers to design, optimize, and maintain data infrastructure that supports advanced analytics and machine learning workloads. They also collaborate with data analysts by providing clean, well-structured datasets and building data pipelines to facilitate insightful reporting and decision-making. Effective communication and a shared understanding of project goals are crucial, as Database Scientists bridge the gap between raw data management and actionable insights. This teamwork ensures data integrity, scalability, and the successful deployment of data-driven solutions.

What are the key skills and qualifications needed to thrive as a database scientist, and why are they important?

To thrive as a Database Scientist, you need a strong background in database management, data modeling, and advanced analytical techniques, often supported by a degree in computer science, statistics, or a related field. Familiarity with SQL, NoSQL databases, big data platforms (like Hadoop or Spark), and certifications such as Microsoft Certified: Azure Data Scientist Associate are typically required. Strong problem-solving, communication, and critical thinking skills help translate complex data insights into actionable business strategies. These skills are crucial for effectively managing, analyzing, and leveraging data to drive informed decision-making and innovation.

What is the difference between Database Scientist vs Data Analyst?

AspectDatabase ScientistData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of SQL, Python, RBachelor's or Master's in Statistics, Data Analysis, or related fields; proficiency in Excel, SQL, visualization tools
Work EnvironmentResearch-focused, often in tech or data-driven companies, developing models and algorithmsBusiness-focused, analyzing data to generate reports and insights for decision-making
Employer & Industry UsageTech firms, research institutions, large enterprises with complex data needsRetail, finance, marketing, and other industries requiring data interpretation

While both roles involve working with data, a Database Scientist primarily develops advanced data models and algorithms, often in research or technical environments. In contrast, a Data Analyst focuses on interpreting data to provide actionable insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What cities in Alabama are hiring for Database Scientist jobs?

Cities in Alabama with the most Database Scientist job openings:

Database Scientist jobs near you

Senior Data Scientist

Huntsville, AL

SOSi
See more jobs at SOSiexternal

Full-time

Re-posted 8 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a highly skilled Data Scientist to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.

The ideal candidate will have a background in AI/ML model development and have experience in Python programming, handling SQL databases, and working in command line interfaces. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will perform using Scrumban techniques and be embedded with end users.

The team will work with technologies including:

  • Open source, commercial, and government software packages such as Docker, Python, Jupyter Notebooks, PostgreSQL, and other tools.
  • Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.

Essential Job Duties

  • Develop and deploy data science solutions leveraging Python or similar languages.
  • Utilize Linux for development of data processing and model deployment.
  • Collaborate with data engineers to improve data colleciton, quality, and access.
  • Prioritize tasks efficiently and adapt solutions to meet project requirements.
  • Document processes and outcomes for transparency and future reference.
  • Write clean, testable, maintainable code in Python and other languages.
Qualifications
  • Active TS/SCI.
  • Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field.
  • A minimum of four (4) years of experience as a Data Scientist/Engineer or advanced analytical role
  • Programming knowledge in Python or similar language.
  • Experience working with SQL and NoSQL databases.
  • Experience with both Linux and Windows operating systems.
  • Knowledge of CI/CD and Agile methodologies.
  • Understanding of software design and system integration.

Additional Information

Work Environment

  • Office setting with a combination of desk work and meetings.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.