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Data Scientist Research Associate Jobs in Alabama

MSCCN

Research Associate IV, Step 1-4

Huntsville, AL · On-site

$60K - $75K/yr

The Research Associate IV will be responsible for performing comprehensive research, data analysis ... S3 storage, EC2, Lambda). • Familiarity with common scientific data formats • Organizational ...

UAB NOVA RENT

RESEARCHER ASSOCIATE

Birmingham, AL · On-site

... scientific rigor, data quality, and animal welfare. This role requires balancing competing ... Errors in judgment could result in compromised research data, delays in funded projects ...

Boeing

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space and Security (BDS) has an ... Utilize research tools such as search engines, library databases, Tableau, Power BI, and others to ...

Boeing

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space and Security (BDS) has an ... Utilize research tools such as search engines, library databases, Tableau, Power BI, and others to ...

Boeing

Senior Data Scientist

Huntsville, AL

$162K - $219K/yr

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space and Security (BDS) has an ... Utilize research tools such as search engines, library databases, Tableau, Power BI, and others to ...

Shipt, Inc.

Senior Data Scientist I

Birmingham, AL · On-site +1

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of ... conducting research, developing predictive and causal models, building marketplace optimization ...

Shipt

Senior Data Scientist I

Birmingham, AL

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of ... conducting research, developing predictive and causal models, building marketplace optimization ...

Summit Health

Senior Data Scientist I

Birmingham, AL · On-site

$123K - $247K/yr

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of ... conducting research, developing predictive and causal models, building marketplace optimization ...

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All JobsData Scientist Research Associate JobsData Scientist Research Associate Jobs in Alabama

Data Scientist Research Associate information

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 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 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.
What are the most commonly searched types of Data Scientist Research jobs in Alabama? The most popular types of Data Scientist Research jobs in Alabama are:
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Data Scientist Research Associate jobs near you

DATA SCIENTIST (CYBER/CLOUD)

Quantum Research International Inc

Huntsville, AL • On-site

Full-time

Posted 15 days ago

Job description





Job Description
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English (US)


Job Posting TitleDATA SCIENTIST (CYBER/CLOUD)
Job Description

Overview:

Quantum Research International, Inc. (Quantum) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications. Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally. We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters. In addition to our corporate office, we have physical locations in Aberdeen, MD; Colorado Springs, CO; Crestview, FL, Orlando, FL, and Tupelo, MS


Mission:

Quantum Research Int is seeking a motivated Mid-Level (or Junior) Data Scientist to support advanced AI/ML and large language model (LLM) initiatives within a cybersecurity and risk analysis platform. You will contribute to the development, deployment, and integration of predictive models and LLM-based solutions to process structured and unstructured data (including SBOMs, CVEs, vulnerability data, and critical program information), generate actionable insights, and support data-informed decision making in a high-stakes defense environment.     


Responsibilities:

  • Support the formulation, design, and execution of data-driven projects focused on cybersecurity risk prioritization, vulnerability analysis, exposure trends, anomaly detection, and automated risk reporting.
  • Develop, fine-tune, and assist in deploying AI/ML models and LLM-based solutions (e.g., for natural language understanding, summarization, and insight generation from unstructured sources such as SBOMs and technical documentation).
  • Help integrate model outputs into data pipelines, dashboards, and visualization tools to deliver clear insights for technical and non-technical stakeholders.
  • Collaborate with data analysts, software developers, and cross-functional teams to embed predictive analytics and LLM capabilities into existing platforms.
  • Clean, collate, and preprocess complex datasets from multiple sources; assess and improve data quality.
  • Apply statistical methods, machine learning algorithms, and LLM techniques to extract actionable insights under guidance.
  • Perform model validation, performance monitoring, and testing.
  • Optimize models for accuracy, scalability, and usability.
  • Produce and present reports, summaries, and visualizations that communicate findings and implications.
  • Stay current with advancements in AI/ML, LLMs, and cybersecurity data domains.
  • Contribute to MLOps practices including model versioning and deployment support.
  • Assist in LLM-driven techniques for assessing compromised datasets to gauge impact and score risk.

Requirements:

  • 2–5+ years of professional experience as a Data Scientist with emphasis on AI/ML model development and deployment (0–3 years for Junior level).
  • Bachelor's degree required; Master's preferred in Data Science, Computer Science, Statistics, Mathematics, or a closely related field.
  • Proficiency in Python (primary); experience with R is a plus.
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and basic LLM implementation/fine-tuning (BERT, GPT-style models, LLaMA/Ollama, or equivalents).
  • Strong proficiency in data manipulation and analysis (Pandas, NumPy) and SQL.
  • Ability to translate technical outputs into clear, actionable insights and presentations.
  • Familiarity with cybersecurity data types and concepts (CVEs, SBOMs, vulnerability severity scoring, risk exposure metrics) or enterprise risk management domains is beneficial.
  • Active TS//SCI security clearance (or ability to obtain and maintain). 
  • Preferred certs: CISSP, CySA+, Security+, CEH    

Desired/Preferred Skills:

  • Prior experience in cybersecurity, defense, national security, or enterprise risk management environments.
  • Experience integrating AI/ML or LLM solutions with cloud platforms (AWS SageMaker, Azure ML, GCP) or on-premises systems.
  • Knowledge of basic MLOps tools and practices.
  • Experience with business intelligence and dashboard tools (Tableau, Power BI).
  • Familiarity with big data frameworks or large-scale data processing.
  • Additional programming skills (Java, C++) are a plus.
  • Strong foundation in statistics, linear algebra, and experimental design.
  • This role combines technical AI/ML and LLM contributions with collaboration in a sensitive, cleared environment. Ideal candidates are proactive, eager to learn, and comfortable applying advanced modeling to real-world cybersecurity challenges.     

#LI Onsite #LI-JL1

Equal Opportunity Employer/Affirmative Action Employer M/F/D/V: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. *Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.