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Statistics Python Pandas Matplotlib Tableau Jobs

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Python/ Pandas/ Matplotlib and the rest of Pythons data science universe experience is a plus. * Statistical analysis experience is a plus. * Self-sufficiency, strong project management and ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process ... Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or ...

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Statistics Python Pandas Matplotlib Tableau information

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$37.5K

$122.7K

$196.5K

How much do statistics python pandas matplotlib tableau jobs pay per year?

As of Jun 3, 2026, the average yearly pay for statistics python pandas matplotlib tableau in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst specializing in Statistics, Python, Pandas, Matplotlib, and Tableau, and why are they important?

To thrive as a Data Analyst in this area, you need a strong foundation in statistical analysis, data manipulation, and a relevant degree in mathematics, statistics, or a related field. Proficiency with Python (especially Pandas and Matplotlib for data processing and visualization) and Tableau for interactive dashboards are essential technical skills, with certifications in analytics or data science being advantageous. Strong analytical thinking, attention to detail, and the ability to communicate complex insights clearly set top performers apart. These skills are crucial for transforming raw data into actionable business insights and driving data-informed decision-making.

How does a Statistics Python Pandas Matplotlib Tableau professional typically collaborate with cross-functional teams to deliver data-driven insights?

Professionals skilled in Statistics, Python, Pandas, Matplotlib, and Tableau often work closely with stakeholders from various departments, such as marketing, finance, and product management. They gather requirements, analyze raw data using Python and Pandas, create visualizations with Matplotlib, and design interactive dashboards in Tableau to present findings. Regular meetings and clear communication are essential for understanding business needs and iterating on analyses. This collaborative approach ensures that the insights generated are actionable and tailored to support organizational objectives.

What are Statistics Python Pandas Matplotlib Tableau jobs?

Statistics Python Pandas Matplotlib Tableau jobs typically involve using statistical methods and data analysis tools to extract insights from data. Professionals in these roles use Python programming and libraries like Pandas for data manipulation, Matplotlib for data visualization, and Tableau for creating interactive dashboards and reports. These jobs are common in fields such as data science, business analytics, and research, where professionals analyze large datasets to support decision-making. The combination of these skills enables efficient data cleaning, exploration, visualization, and presentation to stakeholders.

Can you do statistics in Tableau?

Statistics is a core feature of Tableau, allowing users to perform data analysis such as trend lines, forecasting, clustering, and statistical summaries directly within the platform. As a data visualization and analysis tool, Tableau integrates statistical functions that support data-driven decision making, making it suitable for roles involving data analysis and reporting. Knowledge of statistical concepts enhances the ability to interpret and communicate insights effectively in such positions.

What is the difference between Statistics Python Pandas Matplotlib Tableau vs Data Analyst?

AspectStatistics Python Pandas Matplotlib TableauData Analyst
Required skillsStatistical analysis, programming, data visualization toolsData interpretation, reporting, basic programming
Work environmentData science teams, analytics departmentsBusiness units, marketing, finance
Tools usedPython, Pandas, Matplotlib, TableauExcel, SQL, Tableau, Python (optional)
Industry usageData science, analytics, researchBusiness intelligence, marketing, operations

Statistics Python Pandas Matplotlib Tableau specialists focus on advanced data analysis and visualization using programming skills, often within data science teams. Data Analysts perform similar tasks but typically emphasize business reporting and data interpretation with a broader set of tools. While both roles require analytical skills, Statistics Python Pandas Matplotlib Tableau roles are more technical and programming-intensive, whereas Data Analysts focus on translating data into actionable insights for business decisions.

Infographic showing various Statistics Python Pandas Matplotlib Tableau job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

$70K - $85K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago


Job description

Job Title: Data Scientist
Location: Orlando, FL (Onsite)
Job Type: Full Time, Direct-Hire/Permanent
Salary: $70,000 - 85,000 base + Quarterly Bonus + Equity
Benefits: Free Healthcare, 401k match, PTO, HSA, FSA, Employee Assistance Program, and more.
Why Join the Company:

  • Competitive compensation package including free healthcare options with bonus potential and equity after 1 year of employment.
  • The organization is shaping the future of financial services with cutting‑edge tech - innovating through advanced technology, proprietary data analytics, and tech‑driven investment strategies
  • They operate like a modern, multi-division fintech powerhouse - leading an entirely new category in longevity‑based investing—truly a unique place to build a career at the forefront of an emerging market

About the Role:

Seeking a Data Scientist to assist with designing, development, and deployment of advanced analytics and machine learning solutions. This role is ideal for someone who thrives in complex data environments, enjoys solving high‑impact business problems, and can translate analytical insights into actionable strategies.

Job Responsibilities of the Data Scientist:

  • Design, build, validate, and deploy machine learning models and advanced analytics solutions in production environments.
  • Analyze large, complex structured and unstructured datasets to uncover trends, patterns, and opportunities.
  • Apply advanced statistical modeling, hypothesis testing, and experimental design methodologies to answer key business questions.
  • Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process, analyze, and transform data.
  • Work closely with engineering and product teams to integrate analytics solutions into enterprise systems.
  • Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn.
  • Leverage cloud platforms (AWS, Azure, or GCP) and modern data stack technologies to improve model performance and data workflows.
  • Communicate insights and recommendations to technical and non‑technical stakeholders.

Preferred Experience of the Data Scientist:

  • 1+ years of experience in data science, machine learning, or advanced analytics roles
  • Proficiency in Python (e.g., pandas, scikit-learn, NumPy) and SQL
  • Experience building, validating, and deploying machine learning models
  • Understanding of statistical modeling, experimental design, and hypothesis testing
  • Experience working with large, complex datasets (structured and unstructured)
  • Strong communication skills with the ability to translate complex concepts into business‑friendly insights
  • Collaborative mindset with experience influencing stakeholders across technical and non‑technical teams
  • Curiosity, adaptability, and a passion for continuous learning

Bonus Experience of the Data Scientist:

  • Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stacks
  • Data visualization skills (e.g., Tableau, Power BI, matplotlib, seaborn)
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