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Data Scientist Research Associate Jobs in Alabama

UAB NOVA RENT

RESEARCHER ASSOCIATE

Birmingham, AL · On-site

$19.80/hr

... research projects. With greater autonomy, you will design experiments, interpret data, and ... Associate's degree in a related field and two (2) years of related experience OR High School ...

Becton, Dickinson and Company

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... Utilize and maintain accurate study data in clinical systems, including Veeva Vault CTMS and CDMS.

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Data Scientist Research Associate information

What is a data scientist research associate?

A Data Scientist Research Associate is a professional who applies statistical analysis, machine learning, and data management techniques to conduct research and extract insights from complex datasets. They often work in academic, government, or industry research settings, supporting projects by designing experiments, analyzing large volumes of data, and interpreting results. Their work helps inform decision-making, advance scientific knowledge, and develop new data-driven solutions. Typically, they collaborate with multidisciplinary teams and may contribute to publishing research findings.

What are the key skills and qualifications needed to thrive as a data scientist research associate?

To thrive as a Data Scientist Research Associate, you need a solid background in statistics, machine learning, and data analysis, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of platforms like SQL and TensorFlow are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are crucial for generating actionable insights from data and advancing research objectives.

What are some typical challenges faced by data scientist research associates when working on interdisciplinary projects?

Data Scientist Research Associates often collaborate with experts from fields such as engineering, biology, or social sciences. A common challenge is bridging the communication gap between disciplines, as each may have its own jargon and methodologies. Additionally, integrating and preprocessing diverse datasets can be complex due to varying data formats and quality. Overcoming these challenges requires strong communication skills, adaptability, and a willingness to learn about domain-specific concepts to ensure productive teamwork and successful project outcomes.

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What cities in Alabama are hiring for Data Scientist Research Associate jobs?

Cities in Alabama with the most Data Scientist Research Associate job openings:

Data Scientist Research Associate jobs near you

Senior Data Scientist with Security Clearance

Anonymous Employer

Huntsville, AL • On-site

$70 - $90/hr

Other

Re-posted 23 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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