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Science Visualization Jobs in Alabama (NOW HIRING)

... data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). * Background working with common data visualization tools (PowerBI, Tableau, etc.) and data visualization ...

... science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Background working with common data visualization tools (PowerBI, Tableau, etc.) and data visualization packages ...

... science, analytics, or forecasting roles * Strong experience with Python, R, SQL, and data visualization tools * Proven ability to build forecasting models and analyze business performance data

... visualization techniques. • Undertakes preprocessing of structured and unstructured data. • ... EDUCATION & EXPERIENCE Typically requires a bachelor's degree in Mathematics, Computer Science ...

Position: Electrical Engineer 2 - Grid Visualization & Analytics Location- Birmingham, AL Hybrid ... Master of Science in Electrical Engineering (Required) * Specialization in Power Systems (Preferred ...

... science experience Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL ... with data visualization tools (e.g. Tableau, Matplotlib) Experience processing large datasets ...

... science experience • Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL ... data visualization tools (e.g. Tableau, Matplotlib) • Experience processing large datasets ...

Data Engineer (Senior)

Huntsville, AL

$110.20K - $149.70K/yr

Collaborate with software developers, data scientists, and intelligence analysts to deliver ... Hands-on experience with advanced data visualization and analytics platforms. * Solid understanding ...

Data Engineer (Senior)

Huntsville, AL · On-site

$110.20K - $149.70K/yr

Collaborate with software developers, data scientists, and intelligence analysts to deliver ... Hands-on experience with advanced data visualization and analytics platforms. * Solid understanding ...

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Science Visualization information

What are the key skills and qualifications needed to thrive as a Science Visualization Specialist, and why are they important?

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

How does a Science Visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

What are popular job titles related to Science Visualization jobs in Alabama? For Science Visualization jobs in Alabama, the most frequently searched job titles are:

Data Scientist (Level III)

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 25 days ago


Job description

Position:  Senior Data Scientist (Level III)

Location:  3535 Colonnade Parkway, Birmingham AL 35243
Duration:  6 Months

Client:       Southern Nuclear


Position Overview

We are seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions.

This role requires deep expertise in statistical modeling, predictive analytics, and big data technologies, along with strong leadership capabilities. The ideal candidate has a proven track record of delivering impactful data science solutions and shaping enterprise-level data strategies.


Key Responsibilities

Advanced Data Analysis

  • Analyze complex, large-scale datasets to extract actionable insights.
  • Apply advanced statistical methods and machine learning techniques.
  • Formulate and validate hypotheses to support business decisions.

Predictive Modeling & Machine Learning

  • Develop and deploy sophisticated ML models including:
    • Deep learning
    • Ensemble methods
    • Neural networks
  • Lead algorithm development and model optimization.
  • Oversee model deployment into production environments.

Feature Engineering & Data Preparation

  • Lead feature engineering efforts to enhance predictive performance.
  • Work closely with data engineering teams to integrate data from:
    • Data lakes
    • Data warehouses
    • Distributed systems

Visualization & Communication

  • Build compelling visualizations using:
    • Tableau
    • Power BI
    • Python libraries (Matplotlib, Seaborn, etc.)
  • Present complex analytical findings to technical and executive audiences.

Experimentation & Testing

  • Design and analyze A/B tests.
  • Measure and quantify business impact of changes and optimizations.

Data Governance & Ethics

  • Ensure compliance with privacy laws and data protection standards.
  • Promote ethical AI and responsible data practices.

Leadership & Strategy

  • Mentor junior data scientists.
  • Influence organizational data strategy and roadmap.
  • Drive a data-driven culture across business units.
  • Evaluate emerging tools and technologies for innovation opportunities.

Required Qualifications

  • 10–15 years of experience in data science.
  • Master’s or Ph.D. in:
    • Computer Science
    • Statistics
    • Mathematics
    • Engineering
    • Related quantitative field
  • Expert proficiency in:
    • Python, R, or Julia
    • SQL
  • Strong experience with:
    • Machine learning algorithms
    • Big data technologies (Hadoop, Spark)
    • Distributed computing frameworks
  • Experience with data visualization tools (Tableau, Power BI).
  • Strong leadership and communication skills.
  • Demonstrated ability to drive enterprise-level analytics initiatives.

Technical Expertise

  • Machine Learning & AI
  • Statistical Modeling
  • Feature Engineering
  • A/B Testing
  • Big Data Technologies
  • SQL & Data Manipulation
  • Model Deployment (MLOps familiarity preferred)
  • Data Governance & Compliance

Core Competencies

  • Strategic thinking
  • Innovation mindset
  • Cross-functional collaboration
  • Executive-level communication
  • Mentorship and leadership
  • Advanced problem-solving abilities