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

Booz Allen Hamilton

Data Scientist, Mid

Homestead, FL

$77.60K - $176K/yr

Data Scientist, Mid The Opportunity: Are you excited at the prospect of unlocking the secrets held ... Experience with programming languages, including Python, Java, or SQL * Experience with data ...

Varsity Tutors

Python Tutor

Miami, FL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Fort Lauderdale, FL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Cooper City, FL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Doral, FL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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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 with Security Clearance

The Swift Group

Miami, FL

Other

Posted 6 days ago

Job description

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a skilled Data Scientist to support mission-critical intelligence operations. In this role, you will apply advanced data science, analytics, and intelligence tradecraft to complex GEOINT and multi-INT mission sets. You will work alongside integrated intelligence teams to modernize analytic workflows, develop repeatable analytic pipelines, and operationalize advanced methodologies that directly support national security objectives. The ideal candidate brings deep analytic expertise, strong technical leadership, and proven experience supporting Intelligence Community customers in operational environments. This position is in Doral, FL. Responsibilities: * Apply advanced analytic methodologies to answer complex intelligence questions across GEOINT and multi-INT domains
  • Develop, maintain, and manage structured and unstructured analytic datasets supporting intelligence production
  • Design and implement machine learning and statistical models (e.g., regression, clustering, classification, time-series analysis) to support mission requirements
  • Perform data preprocessing, feature engineering, and exploratory analysis to prepare datasets for advanced analytics
  • Evaluate model performance, conduct error analysis, and communicate analytic results to both technical and non-technical stakeholders
  • Operationalize analytic models into scalable, repeatable workflows and production pipelines
  • Support GEOINT analysis using imagery, geospatial, and spatio-temporal datasets to identify trends, relationships, and mission-relevant events
  • Conduct multi-INT research to augment imagery analysis and provide operational context
  • Collaborate with cross-functional intelligence and engineering teams in support of enterprise-level analytic environments
  • Identify capability gaps, system enhancements, and emerging technologies that improve mission delivery
Provide technical and analytic leadership to teams solving complex intelligence problems Requirements: Active TS/SCI clearance with the ability to obtain a CI Poly
  • 5+ years of relevant experience (a combination of experience, certifications, and training may be considered)
  • Demonstrated Intelligence Community experience supporting national security missions
  • Expertise in advanced analytic methodologies and documented analytic tradecraft
  • Experience in data mining, database manipulation, and maintaining analytic datasets
  • Proficiency with Python and/or R and scientific computing libraries (e.g., NumPy, Pandas)
  • Experience applying machine learning or statistical modeling techniques to mission datasets
  • Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management
  • Proven ability to communicate analytic findings clearly and effectively to diverse audiences
Experience working in collaborative, mission-focused team environments Desired Experience: Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission needs
  • Experience supporting DoD and Intelligence Community reporting, briefings, and formal analytic products
  • Proficiency with analytic and visualization tools such as Tableau, MATLAB, JEMA, MapLarge, Brewlytics, or similar
  • Familiarity with FADE tools including MIST, INTELBOOK, LINX, and WATCH BOX
  • Experience extracting, modeling, and visualizing multi-INT datasets for descriptive and predictive analysis
  • Knowledge of Structured Observation Management tools and Object-Based Production methodologies
  • Experience applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT data
  • Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray
  • Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures
  • Experience developing analytic dashboards or mission applications
  • Familiarity with ICD 203 (Analytic Standards) and ICD 206
  • Understanding of Transnational Criminal Organizations (TCOs), USSOUTHCOM AOR, and coca cultivation and production areas
  • Ability to shape and frame analytic outputs to directly support operational planning and decision-making We are not working with outside staffing agencies to fill this position. We are not accepting unsolicited resumes.

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