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

Deloitte

Data Scientist

Miami, FL

... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

Royal Caribbean Cruise Line

Data Scientist

Miami, FL

We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise ... Proficiency in Python (scikitlearn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow ...

GRVTY

Data Scientist

Doral, FL

Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) * Experience applying ... Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured ...

Royal Caribbean Group

Data Scientist

Miami, FL · On-site

We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise ... Proficiency in Python (scikitlearn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow ...

GRVTY

Data Scientist

Doral, FL

Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) * Experience applying ... Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured ...

GRVTY

Data Scientist

Doral, FL · On-site

Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) * Experience applying ... Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured ...

Agile Defense

Data Scientist

Doral, FL · On-site

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg ... Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark ...

Tech Consulting

Be Seen First

Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years Exp ... Must have experience with both Python programming & SQL language developer. * Should demonstrate ...

ResultStack

Sr. Data Scientist

Miami, FL · On-site

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... NICE TO HAVES Python, R, or SQL --- scripting and querying at production scale. Software ...

Haystack News

Senior Data Scientist

Fort Lauderdale, FL · On-site

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit ...

Haystack News

Senior Data Scientist

Fort Lauderdale, FL · Remote

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit ...

Infonet Consulting Group, Inc.

Be Seen First

Sr. Data Scientist: $90/hr

Miami, FL · On-site

$83 - $90/hr

... Python, scikit-learn, XGBoost, LightGBM, CatBoost, Databricks, feature stores, and robust ... Please refer to position: 051426SDS - Sr. Data Scientist: $90/hr in the subject line of all ...

Chewy

Senior Data Scientist

Plantation, FL

$110K - $175.50K/yr

As a Data Scientist II, you will be a key contributor throughout the entire data science lifecycle ... Strong programming skills in Python or R, with proficiency in data manipulation libraries.

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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

Data Scientist

Zimmerman Advertising

Fort Lauderdale, FL

Full-time

Posted 14 days ago

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor’s degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

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