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Data Scientist Machine Learning Jobs in Alabama (NOW HIRING)

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Develops algorithms using advanced mathematical and statistical techniques like machine learning to ... Data Science, Machine Learning (ML), Machine Learning Methods, Model Risk Competencies Data ...

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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 Jun 11, 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 job?

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 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.

Is ML a high paying job?

Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for expertise in machine learning and data analysis.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require advanced analytical skills, domain expertise, and the ability to interpret complex models. Jobs that involve creative thinking, emotional intelligence, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to remain resilient despite AI advancements.

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.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
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:
AI/ML Engineer/Data Scientist with Security Clearance

AI/ML Engineer/Data Scientist with Security Clearance

BlueWater Federal Solutions

Montgomery, AL

Other

Posted 10 days ago


Job description

Job Description Overview Bluewater Federal is looking for an AI/ML Engineer/Data Scientist to support the USAF at Maxwell AFB. The Base Maintenance (BMx) Family of Systems program provides critical lifecycle support for enterprise U.S. Air Force logistics and maintenance systems that enable global mission readiness and sustainment operations.

Responsibilities * Analyze operational data to identify AI/ML modernization opportunities. * Develop predictive analytics, anomaly detection, and trend analysis solutions. * Support Help Desk analytics, maintenance forecasting, and operational reporting initiatives.

* Create machine learning models and decision-support tools aligned with mission requirements. * Evaluate AI/ML use cases for operational value, feasibility, and risk. * Support AI governance, testing, and compliance activities.

* Develop dashboards and analytical products that improve mission visibility and decision-making. Qualifications * 5+ years AI/ML or data analytics experience. * Must have an active Secret clearance.

* Experience with Python, Machine learning, NLP, Data analytics, Predictive modeling and AI/ML governance * Experience supporting enterprise operational analytics preferred. BlueWater Federal is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law.

BlueWater Federal is a VEVRAA federal contractor and we request priority referral of veterans.