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Data Science Visualization Jobs in Leander, TX (NOW HIRING)

... using visualization and other means Make recommendations for new metrics, apply analytical ... No EDUCATION/CREDENTIALS Master's degree in health science-related discipline, public health ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Communication & Visualization: Translate technical findings into "data stories" using tools like ...

Design high-impact data visualization assets that democratize data access and enable self-service ... Science, or Economics). * Technical Mastery: Advanced proficiency in Python and SQL. Hands-on ...

Success in this role means being fluent in using statistics and visualization tools to answer ... Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems ...

Design high-impact data visualization assets that democratize data access and enable self-service ... Science, or Economics). * Technical Mastery: Advanced proficiency in Python and SQL. Hands-on ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Communication & Visualization: Translate technical findings into "data stories" using tools like ...

Design high-impact data visualization assets that democratize data access and enable self-service ... Science, or Economics). * Technical Mastery: Advanced proficiency in Python and SQL. Hands-on ...

Expert-level data science, data modeling, data pipeline skills. * Solid understanding of data management concepts - data processing, analytics, machine learning and visualization. * Experience with ...

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Data Science Visualization information

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$51.6K

$104.6K

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How much do data science visualization jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data science visualization in Leander, TX is $104,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $117,500.00 per year, depending on experience, location, and employer.

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 job categories do people searching Data Science Visualization jobs in Leander, TX look for? The top searched job categories for Data Science Visualization jobs in Leander, TX are:
What cities near Leander, TX are hiring for Data Science Visualization jobs? Cities near Leander, TX with the most Data Science Visualization job openings:
Senior Data Scientist - People Analytics

Senior Data Scientist - People Analytics

AMD

Austin, TX • On-site

Full-time

Posted 8 days ago


Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

26th of 143 rated electronics manufacturers


Job description

Job Summary:
AMD is a company dedicated to building innovative products that enhance computing experiences across various domains. They are looking for a Senior Data Scientist in People Analytics to drive advanced analytics and AI-driven insights to support talent and organizational decisions, collaborating closely with HR and business leaders.
Responsibilities:
• Design and deliver analysis to influence decisions on talent strategy, workforce planning, engagement, and organizational design
• Build and scale repeatable analytics solutions and data products
• Partner with HR and business leaders to define key business questions and deliver data-driven recommendations
• Design and deliver AI agents to streamline data delivery and analysis for talent processes
• Collaborate with HR data engineering team to ensure data quality, governance, and accessibility
• Build proficiency in AMD AI tools and models
• Help shape the long-term People Analytics strategy at AMD
Qualifications:
Required:
• Business-first mindset – Focuses on solving business problems, not just building models; connects analytics to talent and organizational outcomes.
• Strong storyteller – Translates complex data into clear, compelling insights that resonate with senior leaders and drive decisions
• Technically versatile – Deep hands-on experience with data science tools (e.g., Dataiku, Python/R) and Power BI expertise, with a bias toward scalable, production-ready solutions
• AI-forward thinker – Comfortable leveraging AI/ML to enhance analytics, with curiosity to explore new tools and approaches. You will grow to become the “go-to” expert on how best to leverage AMD’s robust suite of AI tools and models to deliver efficient talent processes and analysis.
• Consultative partner – Builds strong relationships with HR and business leaders; asks the right questions and constructively challenges thinking
• Comfortable with ambiguity – Thrives in a fast-paced environment where problems are not always clearly defined
• High ownership and accountability – Takes initiative, drives work end-to-end, and follows through on commitments
• Collaborative and low ego – Works effectively across teams sharing knowledge and enabling others
• Continuous learner – Stays current on trends in people analytics, AI, and data visualization; actively improves skills and approaches
Preferred:
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, Industrial & Organizational Psychology, or related field
• Experience in People Analytics
• Experience in data science and advanced analytics
• Hands-on experience building models using tools such as Dataiku, Python, R, or similar platforms
• Intermediate expertise in Power BI (data modeling, DAX, dashboard design, performance optimization)
• Basic understanding of statistical methods, machine learning, and experimental design
• Proven ability to translate data into business insights and influence decision-making
• Experience working with large, complex datasets across multiple sources
• Experience in People Analytics or HR data domains (e.g., talent management, engagement, workforce planning)
• Familiarity with HR systems (e.g., SAP SuccessFactors, Workday)
• Experience deploying ML models into production environments
• Knowledge of data storytelling for executive audiences
Company:
Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions. Founded in 1969, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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