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Data Science Jobs in Madison, AL (NOW HIRING)

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 ...

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 ...

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible for... * Design and engineer secure, automated data pipelines from authoritative source systems into a ...

Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related technical discipline, or equivalent experience. * 5+ years of professional experience in data ...

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Data Science information

See Madison, AL salary details

$33.6K

$110K

$176.1K

How much do data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science in Madison, AL is $109,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $121,900.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Madison, AL?

The most popular types of Data Science jobs in Madison, AL are:

What job categories do people searching Data Science jobs in Madison, AL look for?

The top searched job categories for Data Science jobs in Madison, AL are:

What cities near Madison, AL are hiring for Data Science jobs?

Cities near Madison, AL with the most Data Science job openings:

Infographic showing various Data Science job openings in Madison, AL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $109,970 per year, or $52.9 per hour.

Senior Data Scientist

SOSi

Huntsville, AL • On-site

Full-time

Re-posted yesterday


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.