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Data Science Manager Jobs in Alabama (NOW HIRING)

Summit Health

Senior Data Scientist I

Birmingham, AL · On-site

$123K - $247K/yr

Requires a Master's degree or equivalent in Data Science, or Mathematics and 3 years of experience working with statistical analysis and machine learning. Must also have 24 months of experience with ...

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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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Alabama

Data Science Manager information

See Alabama salary details

$28.1K

$88.1K

$155.9K

How much do data science manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science manager in Alabama is $88,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $113,800.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 Manager jobs in Alabama? For Data Science Manager jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Alabama look for? The top searched job categories for Data Science Manager jobs in Alabama are:
What cities in Alabama are hiring for Data Science Manager jobs? Cities in Alabama with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Alabama as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $88,051 per year, or $42.3 per hour.

Senior Data Scientist with Security Clearance

Anonymous Employer

Huntsville, AL • On-site

$70 - $90/hr

Other

Posted 29 days ago

Job description

Senior Data Scientist
W2 Pay Rate: $70-90/hr depending on experience Position Overview
We are seeking a Senior Data Scientist to support the development of advanced analytics, machine learning, and artificial intelligence solutions in a complex enterprise environment. This role will work across large and diverse datasets to develop predictive models, automate decision-making processes, and deliver actionable insights that support mission and business objectives.
The ideal candidate combines strong software engineering skills with practical experience in machine learning, statistical analysis, and cloud-based data environments. Success in this role requires the ability to rapidly learn new tools and technologies while collaborating with engineering, data, and product teams. Key Responsibilities
• Design, develop, and deploy machine learning and data science solutions to address complex business and operational challenges
• Build and maintain scalable data processing, feature engineering, and model deployment pipelines
• Develop software and analytical solutions using modern programming languages and frameworks
• Conduct exploratory data analysis and statistical modeling to identify trends, anomalies, and opportunities for optimization
• Evaluate, validate, and improve machine learning model performance using appropriate statistical techniques and methodologies
• Collaborate with software engineers, architects, and stakeholders to integrate machine learning capabilities into enterprise applications
• Support the deployment, monitoring, and lifecycle management of machine learning models in cloud environments
• Develop technical documentation, visualizations, and presentations to communicate findings and recommendations
• Contribute to software development best practices, code reviews, and continuous integration/continuous delivery processes
• Research emerging technologies and recommend innovative approaches to improve analytical capabilities
Required Qualifications
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline
• Experience developing software solutions using Python, Java, Scala, or similar programming languages
• Strong understanding of object-oriented programming and/or functional programming principles
• Knowledge of machine learning algorithms and techniques
• Experience applying natural language processing (NLP) methodologies
• Strong understanding of statistical analysis and model evaluation techniques
• Experience developing, testing, and maintaining software using Git-based version control systems
• Experience working within CI/CD environments using Git and GitLab
• Experience utilizing Amazon Web Services (AWS) cloud technologies
• Strong problem-solving and analytical skills
• Ability to rapidly learn and adapt to new programming languages, frameworks, and technologies
• Strong communication and collaboration skills Preferred Qualifications
• Hands-on experience with AWS services such as: o EMR
o Bedrock
o Lambda
o EventBridge
• Familiarity with agentic AI architectures and frameworks
• Knowledge of Model Context Protocol (MCP)
• Experience designing and deploying generative AI solutions
• Familiarity with Spring Boot and modern Java application development
• Experience supporting production machine learning workloads in cloud environments
• Knowledge of MLOps concepts and model deployment best practices Desired Technical Skills
• Python
• Java
• Scala
• Machine Learning
• Natural Language Processing (NLP)
• Statistical Modeling
• AWS
• Git
• GitLab CI/CD
• Data Engineering
• Model Evaluation
• Generative AI
• Agentic AI
• MCP
• Spring Boot What Makes a Strong Candidate
• Strong combination of software engineering and data science expertise
• Ability to translate business problems into analytical solutions
• Comfortable working in fast-paced environments with evolving technical requirements
• Passion for continuous learning and emerging AI technologies

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