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Python Data Science Jobs in Florida (NOW HIRING)

Lennar

Sr Manager, Data Science

Miami, FL · On-site

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Deep proficiency in Python and the modern ML stack (scikit-learn, XGBoost/LightGBM, pandas), and ...

Lennar

Sr Manager, Data Science

Miami, FL

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Deep proficiency in Python and the modern ML stack (scikit-learn, XGBoost/LightGBM, pandas), and ...

Lennar Homes

Sr Manager, Data Science

Miami, FL · On-site

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Deep proficiency in Python and the modern ML stack (scikit-learn, XGBoost/LightGBM, pandas), and ...

(unknown company)

Data Scientist

Orlando, FL · On-site

... Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy ...

(unknown company)

Data Scientist

Orlando, FL · On-site +1

... Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy ...

Hirekeyz Inc

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Technical skills - 1 . ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile ... Candidate should be with any Computer science background * Should have experience working with ...

Hexacorp

Data Scientist

Altamonte Springs, FL · On-site

Advanced Python skills (pandas, scikit-learn, pipeline development) * Strong SQL skills with ... Proven experience building and deploying production-grade data science solutions * Experience ...

Lorven Technologies

Data Scientist

Tampa, FL · On-site

Skills / Experience: * 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production * 5+ years of experience in Python - Pandas, PySpark, scikit-learn, Azure ML or ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Skills / Experience: * 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production * 5+ years of experience in Python -- Pandas, PySpark, scikit-learn, Azure ML ...

AEVEX

Program Data Science Analyst

Tampa, FL

This role blends deep data science expertise with program analysis, enabling the organization to ... Proficiency in Python; experience with C++, Java, or R is beneficial * Familiarity with AI/ML tools ...

AEVEX

Program Data Science Analyst

Tampa, FL

Job Overview The Program Data Science Analyst will play a critical role in supporting program and ... Proficiency in Python; experience with C++, Java, or R is beneficial * Familiarity with AI/ML tools ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

This role blends deep data science expertise with program analysis, enabling the organization to ... Proficiency in Python; experience with C++, Java, or R is beneficial * Familiarity with AI/ML tools ...

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How much do python data science jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for python data science in Florida is $43.81, according to ZipRecruiter salary data. Most workers in this role earn between $36.11 and $49.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and programming. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are popular job titles related to Python Data Science jobs in Florida? For Python Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Florida look for? The top searched job categories for Python Data Science jobs in Florida are:
What cities in Florida are hiring for Python Data Science jobs? Cities in Florida with the most Python Data Science job openings:
Python Data Science jobs near you
Sr Manager, Data Science

Sr Manager, Data Science

Lennar

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago

Lennar rating

7.9

Company rating: 7.9 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

23rd of 78 rated construction

Job description

Senior Manager, Data Science
We are Lennar
Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
Join a Company that Empowers you to Build your Future
Lennar is seeking a Senior Manager of Data Science to lead our centralized DS team within the Applied AI & Data Science function. This role owns the strategy, delivery, and people leadership of a high-impact team building pricing, forecasting, and predictive models that influence revenue, operations, and capital decisions across the business.
The ideal candidate is a hands-on technical leader who can move fluidly between coaching senior data scientists, shaping modeling roadmaps with executive stakeholders, and reviewing the math behind a model when it matters.
They bring deep applied ML experience-across pricing, forecasting, supervised learning, and modern ML tooling-and they know how to translate ambiguous business problems into production-grade models that move metrics. They build teams that ship, document, and own outcomes.
You'll join a high-performing Data & AI organization operating at the intersection of real estate, operations, and AI-leading a team whose models are deployed across 40+ divisions of one of the nation's largest homebuilders.
  • A career with purpose.
  • A career built on making dreams come true.
  • A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team
  • Lead, coach, and grow a centralized team of data scientists working across pricing, forecasting, demand modeling, and broader predictive analytics-setting standards for technical rigor, code quality, and business impact.
  • Own the modeling roadmap for the ML team, partnering with business and platform leaders to prioritize use cases, scope deliverables, and align modeling investments to measurable enterprise outcomes.
  • Drive technical depth across the team-reviewing experiment design, feature engineering, model selection, validation strategy, and post-deployment monitoring with the rigor expected of a hands-on senior practitioner.
  • Partner with AI Engineering, AI Product, and Data Engineering counterparts to ensure models are productionized on a modern MLOps stack with proper version control, retraining, and observability.
  • Translate complex modeling work for executive audiences-framing tradeoffs, expected impact, confidence levels, and risks in language that supports clear decision-making.
  • Build durable cross-functional partnerships with Pricing, Sales Operations, Supply Chain, Finance, and Corporate Analytics to ensure models are adopted, trusted, and tied to measurable business outcomes.
  • Establish team operating cadence including planning, retros, model reviews, and documentation standards that scale as the team and portfolio of models grow.
  • Recruit, develop, and retain top data science talent-owning hiring loops, leveling decisions, performance management, and career progression for direct reports.

Requirements
  • Bachelor's degree or higher in a quantitative field such as Statistics, Computer Science, Operations Research, Economics, Mathematics, or Engineering. Advanced degree (MS/PhD) preferred.
  • 10+ years of applied data science experience with at least 3 years in a people management role leading data science teams that shipped production models.
  • Strong hands-on background in supervised learning, time-series forecasting, and pricing or revenue optimization models-with proven impact in a production environment.
  • Deep proficiency in Python and the modern ML stack (scikit-learn, XGBoost/LightGBM, pandas), and strong SQL skills for working with large-scale warehouse data.
  • Experience deploying models on a cloud-native ML platform (AWS SageMaker preferred) and partnering with engineering teams on MLOps practices including model registries, experiment tracking, and retraining pipelines.
  • Proven ability to lead a portfolio of modeling work-prioritizing use cases by business value, managing competing stakeholder demands, and communicating tradeoffs clearly at the executive level.
  • Track record of building, developing, and retaining strong data science talent, including mentoring senior individual contributors and growing first-line data scientists into leaders.
  • Bonus: Experience in real estate, homebuilding, pricing, supply chain, or other operationally complex industries; experience with causal inference, reinforcement learning, or simulation modeling; exposure to LLM-based ML use cases.

What we offer:
  • The opportunity to deliver impact across one of the largest homebuilders in the United States.
  • A corporate culture focused on growth and development.
  • Freedom to try new impactful ideas.
  • Ability to deploy your work to teams across 40+ divisions and interact directly with those teams.
  • End-to-end project ownership.
  • Occasional travel for team activities and meetings.
  • Hybrid work schedule with you located in Miami, FL; Bentonville, AR; or Dallas, TX.
  • Healthcare (medical, dental, vision) and 401k matching

#LI-GQ1
Life at Lennar
At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.
Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.
Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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