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Data Scientist Machine Learning Jobs in Alabama (NOW HIRING)

Motion Industries (MOT)

Data Scientist

Montgomery, AL · On-site

$110 - $170/hr

Under limited supervision, the Data Scientist works closely with business stakeholders to ... Must have a passion for machine-learning and research. This position will be tasked with helping ...

TAMKO

Manufacturing Data Scientist

Tuscaloosa, AL · On-site

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data ... Develop and deploy machine learning, predictive analytics, and prescriptive analytics, including ...

Booz Allen Hamilton

Data Scientist

Huntsville, AL

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton, Inc.

Data Scientist

Huntsville, AL · On-site +1

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Scientist

Huntsville, AL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton, Inc.

Data Scientist

Huntsville, AL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Phase2 Technology

Data Scientist

Huntsville, AL · On-site

$113 - $257/hr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

SAIC

Data Scientist

Huntsville, AL

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... Practical understanding in machine learning deployment with a focus on optimization, including ...

Guidehouse

Epidemiologist Data Scientist

Huntsville, AL · On-site

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Design, implement, and refine machine learning and statistical models (e.g., regression, clustering ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers, data scientists and product managers, contributing directly to feature design and architecture and ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers, data scientists and product managers, contributing directly to feature design and architecture and ...

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Showing results 21-40

All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Alabama

Data Scientist Machine Learning information

See Alabama salary details

$34K

$111.2K

$178.1K

How much do data scientist machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data scientist machine learning 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 is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Alabama?

The most popular types of Data Scientist Machine Learning jobs in Alabama are:

What are popular job titles related to Data Scientist Machine Learning jobs in Alabama?

For Data Scientist Machine Learning jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Alabama look for?

The top searched job categories for Data Scientist Machine Learning jobs in Alabama are:

Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,249 per year, or $53.5 per hour.

Data Scientist 3 (IT) 4P/367

4P Consulting Inc

Birmingham, AL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist 3

Location: Birmingham, AL 35203

Client: Alabama Power

Contract: 1 Year

Job Summary

We are seeking an experienced Data Scientist (Level 3) with 5–10 years of advanced data analytics experience to join our team. This role requires a strong foundation in statistics, machine learning, and data engineering. The successful candidate will leverage big data tools, programming expertise, and statistical modeling to develop insights and support critical decision-making in the utilities industry.

Key Responsibilities

  • Data Wrangling & Exploration
    • Acquire, clean, and process large, complex datasets from multiple sources, including smart meters, grid sensors, customer systems, and financial platforms.
    • Explore data for anomalies, trends, and correlations to support operational, engineering, and business use cases.
  • Model Development
    • Build, validate, and deploy machine learning and statistical models for applications such as predictive maintenance, outage prediction, customer load forecasting, and energy demand analysis.
    • Evaluate and apply appropriate ML algorithms including regression, classification, clustering, and time-series forecasting.
  • Visualization & Reporting
    • Develop intuitive data visualizations and dashboards using tools like Power BI, Tableau, or Python libraries (Matplotlib, Seaborn, Plotly).
    • Translate complex results into clear business insights for engineering, operations, and leadership teams.
  • Big Data & Advanced Analytics
    • Utilize big data frameworks such as Spark, Hadoop, or Databricks to process and analyze large-scale structured and unstructured datasets.
    • Support integration of analytics into operational systems, ensuring scalability and performance.
  • Collaboration
    • Partner with cross-functional stakeholders in grid operations, transmission, distribution, and customer solutions to identify high-value data science opportunities.
    • Work closely with data engineers, business analysts, and domain experts to align models with business and regulatory needs.

Experience:

  • 5–10 years of applied data science experience in an enterprise setting.
  • Proven success in designing, deploying, and scaling advanced analytics models.
  • Utilities or energy-sector experience strongly preferred (e.g., transmission, distribution, smart grid, AMI/MDM, renewable integration).
  • Technical Skills:
  • Proficient in Python or R (statistical programming).
  • Strong statistical knowledge and experience applying the scientific method.
  • Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).
  • Skilled in SQL and database querying.
  • Experience with big data tools (Spark, Hadoop, Databricks) is highly desirable.
  • Familiarity with cloud platforms (Azure, AWS, or GCP).
  • Soft Skills:
  • Strong problem-solving and analytical abilities.
  • Ability to present technical findings to non-technical stakeholders.
  • Self-motivated, with capacity to work independently and collaboratively.

Work Environment

  • Hybrid work arrangement with periodic travel to company sites, data centers, or field locations.
  • Must be able to balance multiple concurrent projects in a fast-paced, results-driven environment.

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