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Data Science Visualization Jobs in Alabama (NOW HIRING)

Motion

Data Scientist

Birmingham, AL · On-site

... visualization techniques. • Undertakes preprocessing of structured and unstructured data. • ... Required : • Typically requires a bachelor's degree in Mathematics, Computer Science, Physics ...

New

Genuine Parts Company

Data Scientist

Birmingham, AL

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

TAMKO

Manufacturing Data Scientist

Tuscaloosa, AL

Perform data visualization and statistical analysis to reduce waste, improve availability and ... Bachelor's degree in Mathematics, Science, Engineering, Computer Science, Data Science, Statistics ...

Guidehouse

Data Analyst

Huntsville, AL

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will ... These tasks will involve using tools and technologies such as Python, SQL, and data visualization ...

Guidehouse

Data Analyst

Huntsville, AL

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will ... These tasks will involve using tools and technologies such as Python, SQL, and data visualization ...

Tuskegee University

Teach courses in computer science and data science, including but not limited to: programming, data analysis, machine learning, big data, data visualization, and statistical modeling. * Advise and ...

Guidehouse

Data Analyst

Huntsville, AL · On-site

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will ... These tasks will involve using tools and technologies such as Python, SQL, and data visualization ...

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Data Science Visualization information

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

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

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Alabama? For Data Science Visualization jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Alabama look for? The top searched job categories for Data Science Visualization jobs in Alabama are:
What cities in Alabama are hiring for Data Science Visualization jobs? Cities in Alabama with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Senior Data Scientist (Level III) 4P/647

Senior Data Scientist (Level III) 4P/647

4P Consulting Inc.

Birmingham, AL • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
4P Consulting Inc. is seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions. The ideal candidate will have deep expertise in statistical modeling and predictive analytics, along with strong leadership capabilities to deliver impactful data science solutions.
Responsibilities:
• 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.
• 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.
• Lead feature engineering efforts to enhance predictive performance.
• Work closely with data engineering teams to integrate data from:
• Data lakes
• Data warehouses
• Distributed systems
• Build compelling visualizations using:
• Tableau
• Power BI
• Python libraries (Matplotlib, Seaborn, etc.)
• Present complex analytical findings to technical and executive audiences.
• Design and analyze A/B tests.
• Measure and quantify business impact of changes and optimizations.
• Ensure compliance with privacy laws and data protection standards.
• Promote ethical AI and responsible data practices.
• 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.
Qualifications:
Required:
• 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.
• Machine Learning & AI
• Statistical Modeling
• Feature Engineering
• A/B Testing
• Big Data Technologies
• SQL & Data Manipulation
• Model Deployment
• Data Governance & Compliance
• Strategic thinking
• Innovation mindset
• Cross-functional collaboration
• Executive-level communication
• Mentorship and leadership
• Advanced problem-solving abilities
Preferred:
• Master’s or Ph.D. Preferred (Quantitative Field)
• MLOps familiarity preferred
Company:
4P Consulting is a highly specialized Staffing and Recruiting company with significant experience and expertise in the Engineering industry, IT, Admin, Accounting, Advertising . Founded in 2012, the company is headquartered in Kennesaw, Georgia, US, , with a team of 11-50 employees. The company is currently Early Stage.

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