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Data Science Manager Jobs in Miami, FL (NOW HIRING)

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 ...

Data Science Tutor

Doral, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Miami Beach, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Miramar, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Sunrise, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Miami, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Hialeah, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Cooper City, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level ...

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level ...

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level ...

Personnel must have experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams. Strong leadership, strategic ...

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

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Showing results 1-20

Data Science Manager information

See Miami, FL salary details

$29.6K

$92.9K

$164.5K

How much do data science manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science manager in Miami, FL is $92,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $120,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

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

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Miami, FL? The most popular types of Data Science jobs in Miami, FL are:
What are popular job titles related to Data Science Manager jobs in Miami, FL? For Data Science Manager jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Miami, FL look for? The top searched job categories for Data Science Manager jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Science Manager jobs? Cities near Miami, FL with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $92,913 per year, or $44.7 per hour.
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

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

21st of 80 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 DSteam 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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