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Python Data Scientist Jobs in Miami, FL (NOW HIRING)

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL · On-site

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL · On-site

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

The Subway

Data Scientist

Miami, FL · On-site

$102.70K - $128.40K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Strong programming experience with Python, R, or similar languages for data analysis and model ...

AIS Inc

Data Scientist

Miami, FL · Remote

Proficiency in programming languages such as Python or R * Experience working with large datasets ... PhD in data science, computer science, marine science, or related field * Experience developing and ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

Proficiency in programming languages such as Python or R * Experience working with large datasets ... PhD in data science, computer science, marine science, or related field * Experience developing and ...

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Python Data Scientist information

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$35.9K

$117.4K

$187.9K

How much do python data scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for python data scientist in Miami, FL is $117,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are popular job titles related to Python Data Scientist jobs in Miami, FL? For Python Data Scientist jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Miami, FL look for? The top searched job categories for Python Data Scientist jobs in Miami, FL are:
Python Data Scientist jobs near you

Data Scientist

Purple Drive Technologies

Fort Lauderdale, FL • On-site

Full-time

Posted 15 days ago

Job description

Overview:
Role Name: Data Scientist
Location: Sunrise, FL
Experience Required: 6-10 Years
Job Summary
We are seeking a highly skilled Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to design, develop, and deliver advanced data-driven solutions. This role focuses on building statistical and predictive models, performing deep analytical research, and ensuring high-quality, test-driven data pipelines for enterprise-grade applications.
The ideal candidate is analytical, detail-oriented, and capable of translating complex datasets into actionable business insights while maintaining robust testing and data integrity standards.
Key Responsibilities
Data Modeling & Analytics
  • Design, build, and optimize advanced statistical and predictive data models.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Apply statistical techniques and machine learning methods to solve complex business problems.
Data Engineering & Databases
  • Develop and optimize data workflows using Python.
  • Write efficient, scalable queries using PostgreSQL for large datasets.
  • Ensure data quality, consistency, and integrity across data sources.
Testing & Quality Assurance
  • Implement automated testing frameworks using PyTest for data pipelines and models.
  • Validate model outputs, transformations, and data accuracy.
  • Ensure adherence to test-driven development (TDD) and best practices.
Collaboration & Communication
  • Work closely with cross-functional teams including Data Engineers, Product Managers, and Business Analysts.
  • Translate analytical findings into clear insights, dashboards, and reports for stakeholders.
  • Document methodologies, assumptions, and model performance metrics.
Optimization & Continuous Improvement
  • Monitor model performance and recalibrate as required.
  • Identify opportunities to improve efficiency, scalability, and reliability of data solutions.
  • Stay updated with the latest trends in data science, analytics, and testing frameworks.
Required Skills & Experience
Technical Skills
  • Strong hands-on experience with Python for data analysis and modeling.
  • Proficiency in PostgreSQL, including complex queries and performance tuning.
  • Solid experience with PyTest for automated testing of data pipelines and models.
  • Experience with statistical analysis, hypothesis testing, and feature engineering.
  • Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, etc.).
Data Science Expertise
  • Experience building predictive models using machine learning techniques.
  • Knowledge of supervised and unsupervised learning algorithms.
  • Strong understanding of data preprocessing, normalization, and validation techniques.
Preferred Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Experience working with enterprise-scale or regulated environments.
  • Exposure to CI/CD pipelines for data science workflows.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
Soft Skills & Competencies
  • Strong analytical and problem-solving mindset.
  • Excellent communication skills with the ability to explain complex concepts simply.
  • High attention to detail and commitment to data accuracy.
  • Ability to work independently and collaboratively in fast-paced environments.

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