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Data Science Jobs in Alabama (NOW HIRING)

UAB NOVA RENT

DATA SCIENTIST LEAD

Birmingham, AL · On-site

$104K - $169K/yr

Performs statistical analysis to build Artificial Intelligence tools that automate certain processes within the unit and implement data science algorithms (e.g. regression, classification and ...

IQUASAR LLC

Senior Data Scientist

Fort Novosel, AL · Remote

$90/hr

Masters degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 58+ years of applied data science experience Mastery of Python or R, statistical tools such as Stata ...

SOSi

Senior Data Scientist

Huntsville, AL · On-site

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 ...

Deloitte

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... * Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and ...

SOSi

Senior Data Scientist

Huntsville, AL · On-site

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 ...

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Data Science information

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$34K

$111.2K

$178.1K

How much do data science jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data science in Alabama is $111,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $123,300.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 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.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Alabama? The most popular types of Data Science jobs in Alabama are:
What are popular job titles related to Data Science jobs in Alabama? For Data Science jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Alabama look for? The top searched job categories for Data Science jobs in Alabama are:
What cities in Alabama are hiring for Data Science jobs? Cities in Alabama with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Alabama as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,249 per year, or $53.5 per hour.
Palantir AI and Data Science Engineer

Palantir AI and Data Science Engineer

Deloitte

Huntsville, AL

$112K - $135K/yr

Other

Posted 15 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

As an AI and Data Science Engineer on the AI & Data team, you will be responsible for...

  • Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and cloud-based technologies
  • Building and deploying data engineering solutions that support enterprise transformation and mission-driven outcomes
  • Developing analytics products and applications that integrate, transform, and operationalize enterprise data
  • Collaborating with cross-functional teams to define requirements, resolve technical issues, and deliver scalable solutions
  • Applying DevOps and statistical programming tools to improve data quality, platform performance, and operational efficiency

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree
  • 1+ years of experience in data science, data manipulation, or data analysis
  • 1+ years of experience working with Palantir Foundry
  • Ability to obtain and maintain the required clearance for this role
  • Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • 2+ years of experience with pipeline and application development within Palantir Foundry
  • 3+ years of experience in professional services or federal consulting
  • Experience translating technical concepts for nontechnical audiences
  • Experience evaluating and applying new technologies, products, or libraries
  • Experience producing written communications for technical and nontechnical stakeholders
  • Experience organizing and managing multiple deliverables
#LI-MW5
Qualifications:

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

As an AI and Data Science Engineer on the AI & Data team, you will be responsible for...

  • Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and cloud-based technologies
  • Building and deploying data engineering solutions that support enterprise transformation and mission-driven outcomes
  • Developing analytics products and applications that integrate, transform, and operationalize enterprise data
  • Collaborating with cross-functional teams to define requirements, resolve technical issues, and deliver scalable solutions
  • Applying DevOps and statistical programming tools to improve data quality, platform performance, and operational efficiency

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree
  • 1+ years of experience in data science, data manipulation, or data analysis
  • 1+ years of experience working with Palantir Foundry
  • Ability to obtain and maintain the required clearance for this role
  • Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • 2+ years of experience with pipeline and application development within Palantir Foundry
  • 3+ years of experience in professional services or federal consulting
  • Experience translating technical concepts for nontechnical audiences
  • Experience evaluating and applying new technologies, products, or libraries
  • Experience producing written communications for technical and nontechnical stakeholders
  • Experience organizing and managing multiple deliverables
#LI-MW5
Education:Bachelor's DegreeEmployment Type:

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