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Data Scientist Machine Learning Jobs in Alabama (NOW HIRING)

Vultus Inc

Data Scientist Experience 3-6 Years Job Type Full-Time Job Summary We are looking for a skilled ... Develop and deploy machine learning and statistical models. * Perform exploratory data analysis and ...

Elsevier

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

RELX

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

4pconsultinginc

Data Scientist III (IT)

Birmingham, AL · On-site

Data Scientist III (IT) Location: Birmingham, AL Duration: 1 Year Client: Alabama Power Job Summary ... This role requires strong expertise in statistics, machine learning, and programming , with the ...

Mindlance

Data Scientist 3

Birmingham, AL · On-site

Mindlance is a company seeking an experienced Data Scientist to leverage advanced analytics and machine learning to inform business decisions. The role involves data analysis, predictive modeling ...

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

Data Scientist Machine Learning information

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$34K

$111.2K

$178.1K

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

As of Sep 6, 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

Vultus Inc

On-site

Full-time

Posted 25 days ago

Job description

Data Scientist

Experience

3–6 Years

Job Type

Full-Time

Job Summary

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and provide data-driven insights that support business decisions. The ideal candidate should have strong experience in machine learning, statistical analysis, Python, SQL, and data visualization.

Key Responsibilities
  • Collect, clean, preprocess, and analyze structured and unstructured data.
  • Develop and deploy machine learning and statistical models.
  • Perform exploratory data analysis and identify meaningful patterns and trends.
  • Build predictive and classification models using appropriate algorithms.
  • Evaluate model performance and optimize models for accuracy and scalability.
  • Work with stakeholders to understand business requirements and translate them into analytical solutions.
  • Create dashboards, reports, and visualizations to communicate insights effectively.
  • Perform feature engineering, model validation, and hyperparameter tuning.
  • Collaborate with Data Engineers, Software Engineers, and Business Teams.
  • Monitor deployed models and improve performance based on new data.
  • Document methodologies, analysis, models, and results.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Statistical Analysis
  • Pandas & NumPy
  • Scikit-learn
  • Data Cleaning & Preprocessing
  • Predictive Modeling
  • Feature Engineering
  • Data Visualization
Secondary Skills
  • TensorFlow / PyTorch
  • Power BI / Tableau
  • NLP
  • Deep Learning
  • Azure / AWS / GCP
  • Spark
  • Jupyter Notebook
  • Git
  • MLOps
Educational Qualification
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Preferred Experience
  • 3–6 years of experience in Data Science, Machine Learning, or a related field.
  • Strong understanding of statistics and machine learning algorithms.
  • Experience working with large datasets and databases.
  • Good problem-solving and analytical skills.
  • Strong communication and presentation skills.
Salary

₹8 LPA – ₹20 LPA, depending on experience and skill set.