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Data Science Jobs in Madison, AL (NOW HIRING)

Trideum

Senior Data Scientist

Huntsville, AL

Bachelors Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.). * Proven experience building operational ...

SOSi

Senior Data Scientist

Huntsville, AL

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 ...

SOSi

Senior Data Scientist

Huntsville, AL

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 ...

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... * Design and engineer secure, automated data pipelines from authoritative source systems into a ...

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... * Design and engineer secure, automated data pipelines from authoritative source systems into a ...

Starfish

Data Analyst/Data Scientist

Huntsville, AL · On-site

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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All JobsData Science JobsData Science Jobs in Madison, AL

Data Science information

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$110K

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How much do data science jobs pay per year?

As of Aug 22, 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.
More about Data Science jobs

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:

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For Data Science jobs in Madison, AL, the most frequently searched job titles are:

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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:

Data Science jobs near you
Infographic showing various Data Science job openings in Madison, AL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $109,970 per year, or $52.9 per hour.

Senior Data Scientist

Trideum Corporation

Huntsville, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Senior Data Scientist/Data Engineer
Full-time
Huntsville, AL
About Us
Trideum Corporation is a 100% employee-owned company, committed to embracing the world's toughest challenges with a servant's heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.
Position Summary
The Senior Data Scientist/Data Engineer will play a pivotal role in establishing the foundation for data-driven decision-making and enterprise-wide data operationalization in support of the United States Army Space and Missile Defense Command (USASMDC). This position focuses on translating complex data into actionable insights that enable senior leadership to make well-grounded decisions regarding technology investments, pilot programs, and portfolio rationalization. The Data Engineer will design, build, and maintain the data ontology tools, dashboards, and data pipelines necessary to measure technical maturity, operational efficiency, and mission alignment across the organization.
As a core contributor to the enterprise operational data and analytics team, you will be responsible for creating real-time decision support system data ontology mapping and interfaces that provide granular visibility into performance, technology, and operational readiness. You will work closely with data scientists, software developers, systems evaluation engineers, mission personnel, and enterprise architects to ensure that all data is traceable from source to recommendation. This role is essential for equipping leadership with the objective scoring criteria, evaluation metrics, and comprehensive reports needed to continuously improve the technology landscape.
What You'll Do
Responsibilities include, but are not limited to:
  • Develop and maintain executive decision support products, including operational dashboards and artificial intelligence (AI) pipelines.
  • Build data pipelines and visualizations within enterprise platforms (such as Army Vantage) to provide real-time oversight of key metrics, including application usage, subscription consumption, and application programming interface (API) burn rates.
  • Design and implement comprehensive command-wide ontology and data dictionary for utilization across applications and analytic frameworks
  • Ensure strict data traceability from source data and assumptions through analyses to final recommendations.
  • Support the creation of a robust API flexible structure to integrate data flows and data sets from Programs of Record, Cloud-based Analytic Platforms, and Mission Systems.
  • Produce recurring monthly portfolio dashboards and comprehensive quarterly or annual reports.
  • Less than 25% travel may be required.

Requirements and Qualifications
  • Bachelor's Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).
  • Proven experience building operational dashboards and data visualizations that provide real-time decision support to senior leadership.
  • Strong expertise in developing data pipelines, including experience integrating data from various sources to track utilization, consumption, and financial metrics.
  • 5+ years of relevant professional experience.
  • Expertise in languages like Python, R, and SQL; data visualization software like Tableau, Power BI, or Qlik; and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics.
  • Experience establishing data traceability methodologies to ensure a clear linkage between raw data, analyses, and final recommendations.
  • Ability to define objective scoring criteria, evaluation metrics, and key performance indicators (KPIs) for technology assessments.
  • Excellent written and verbal communication skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.
  • U.S. citizenship and an active Secret security clearance with the ability to obtain/maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.

Desired Qualifications
  • Master's Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).
  • Experience working with Army Vantage or similar enterprise, cloud-based data platforms.
  • Familiarity with building artificial intelligence (AI) or machine learning pipelines for advanced analytics.
  • Previous experience supporting a Chief Technology Officer (CTO), Chief Data and AI Officer (CDAO), or similar executive-level function with enterprise-wide technology assessments.
  • Understanding of software lifecycle management, cloud computing integration, and modern development practices (e.g., DevSecOps).
  • Experience developing and maintaining infrastructure for data storage, data extraction, monitoring, and observability

We Take Care of Our People
Whether you're looking to launch a new career or grow an existing one, Trideum is the type of company where you can balance great work with great life because we believe that taking care of our people is the right thing to do. Trideum offers:
  • Competitive pay based on the work you do here and not your previous salary.
  • Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.
  • Employee Stock Ownership Plan (ESOP).
  • Paid leave and the ability to cash out leave.
  • Free access to certified financial planners, wellness and support services, and discount programs.
  • Education assistance and professional development opportunities.
  • And much more.

Ready to Apply?
Start Your Application now!
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Trideum may request such accommodation(s) by contacting Human Resources at 256.704.6123 or HR@trideum.com .
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About Trideum

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Huntsville, AL, US

Year founded

2005

Social media

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