Data Scientist - Data Visualization Specialist

Data Scientists leverage data analysis, machine learning, and statistical modeling techniques to extract insights and drive business decisions. They analyze large datasets, develop predictive models, and communicate findings to stakeholders to support strategic business initiatives. Responsibilities Job Duty 1 - Analyze large datasets using statistical methods, data mining techniques, and machine learning algorithms to extract insights and patterns. Job Duty 2 - Develop predictive models, data visualizations, and data-driven recommendations to support decision-making processes. Job Duty 3 - Clean, preprocess, and transform data to ensure data quality and reliability for analysis. Job Duty 4 - Conduct exploratory data analysis, hypothesis testing, and statistical modeling to uncover actionable insights. Job Duty 5 - Communicate data findings, insights, and recommendations to non-technical audiences through reports, presentations, and dashboards. Job Duty 6 - Stay abreast of data science tools, technologies, and methodologies to enhance data analysis capabilities. Job Duty 7 - Work with cross-functional teams to integrate data science solutions into business processes and applications. Job Duty 8 - Continuously evaluate and refine data models, algorithms, and analytical techniques to improve data science outcomes and impact. Job Duty 9 - Collaborate with business stakeholders to define data analytics requirements, goals, and success criteria. Job Duty 10 - Perform other job-related duties as assigned. Responsibilities Additional Job Duties: Develop interactive and visually appealing Tableau dashboards. Assist in data preparation, cleaning, and transformation to ensure accurate reporting. Optimize dashboards for performance and usability. Collaborate with team members to understand reporting needs and translate them into visual solutions. Perform quality assurance and testing to validate data accuracy. Document development processes, dashboard logic, and best practices. Research and present industry trends and recommendations in data visualization and analytics.

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards.