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Top Data Science Jobs in Texas (NOW HIRING)

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Lennar has been recognized as a Fortune 500 company and consistently ranked among the top ...

Recruit, onboard, and retain top data science talent, building a high-performing team with complementary skills across modeling, analytics, and MLOps. Foster a collaborative, inclusive, and ...

Recruit, onboard, and retain top data science talent, building a high-performing team with complementary skills across modeling, analytics, and MLOps. Foster a collaborative, inclusive, and ...

... onboard, and retain top data science talent, building a high-performing team with complementary skills across modeling, analytics, and MLOps. • Foster a collaborative, inclusive, and ...

New

Our data science teams also embrace staying current with the evolving data science landscape ... On top of our competitive pay, you are eligible for an annual raise and bonus. * Stay Well! Focus ...

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

About Tyndale The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, ... Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews ...

About Tyndale The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, ... Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews ...

Lead data science projects in close collaboration with Data Engineering, Application development ... Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI ...

Lead data science projects in close collaboration with Data Engineering, Application development ... Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI ...

Lead data science projects in close collaboration with Data Engineering, Application development ... Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI ...

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Showing results 1-20

Top Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do top data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for top data science in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is the difference between Top Data Science vs Data Analyst?

AspectTop Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch and development teams, data science departments, often in tech or finance industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageTech companies, finance, healthcare, e-commerce, and startups focusing on predictive modeling and AIRetail, finance, healthcare, and other sectors focusing on reporting and data interpretation

Top Data Science roles focus on advanced analytics, machine learning, and predictive modeling, requiring specialized skills and higher-level credentials. Data Analysts primarily handle data reporting, visualization, and basic analysis. While both roles work with data, Top Data Science positions involve more complex modeling and algorithm development, often in tech-driven environments.

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

To thrive as a Top Data Scientist, you need advanced proficiency in statistics, machine learning, and programming (commonly in Python or R), typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, TensorFlow, and data visualization platforms, as well as experience with big data infrastructure such as Hadoop or Spark, is essential. Strong problem-solving ability, critical thinking, and effective communication skills distinguish top performers in this field. These skills and qualities are crucial for extracting actionable insights from complex datasets and driving data-driven decision-making in organizations.

What is a data scientist?

A data scientist is a professional who analyzes and interprets complex digital data to help organizations make informed decisions. They use techniques from statistics, computer science, and machine learning to extract insights from large datasets. Data scientists often build predictive models, visualize data trends, and communicate findings to stakeholders. Their work helps businesses optimize operations, identify new opportunities, and solve challenging problems using data-driven approaches.

Which 5 jobs will survive AI?

Top data science roles such as data analysts, machine learning engineers, data engineers, AI specialists, and business intelligence analysts are expected to persist as AI automates routine tasks. These jobs require advanced analytical skills, programming knowledge, and domain expertise that are less susceptible to automation. Continuous learning and proficiency in tools like Python, R, and SQL will help professionals stay relevant.

What professions make 500,000 a year?

In data science, senior roles such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer can earn $500,000 or more annually, especially with extensive experience, advanced skills in programming and analytics, and leadership responsibilities. High compensation often involves working in large organizations, consulting, or executive positions that oversee data strategy and teams.

What jobs pay 200,000 a year in the USA?

In data science, senior roles such as Lead Data Scientist, Data Science Manager, or Principal Data Scientist can earn $200,000 or more annually, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. High-paying roles often require advanced degrees, strong domain knowledge, and leadership responsibilities within organizations.

What are some typical challenges a data scientist faces when working on cross-functional teams?

Data scientists often collaborate with professionals from engineering, product management, and business units, which can present challenges such as aligning on project goals, communicating complex technical findings to non-technical stakeholders, and managing differing priorities. It’s common to navigate ambiguity in data requirements or business objectives, requiring strong communication and adaptability. Building successful partnerships across functions is key to ensuring that data-driven insights are actionable and impactful.

What is the best job in data science?

The top data science roles include data scientist, machine learning engineer, and data analyst, depending on experience and specialization. Data scientists typically require strong programming skills in Python or R, knowledge of statistical methods, and experience with data visualization tools. These roles often offer high demand, competitive salaries, and opportunities to work on complex data-driven projects.
Sr Manager, Data Science

Sr Manager, Data Science

Lennar

Irving, TX

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

19th of 79 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.


What Lennar employees say

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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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