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Data Science Lead Jobs in Houston, TX (NOW HIRING)

campus4tech

Lead Data Scientist

Houston, TX · On-site

Lead Data Scientist Location: Houston, TX Job Type: Permanent Full Time Job Mode: 100% Onsite ... Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Lead Data Scientist Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine ... Lead Proof of Concept (PoC) projects including: * Automated information extraction from ...

bwp

Lead / Sr Analyst Data Scientist

Houston, TX

We are currently looking for an Lead / Sr Analyst Data Scientist for our Houston, TX office ... Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement ... Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews ...

Guidehouse

Data Engineer Lead

Houston, TX · On-site

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Data Engineer Lead to lead the design, development, and ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement ... Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews ...

Amgen

Sr. Data Scientist - Process Modeling

Houston, TX · On-site

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... The position will lead to solutions for open-ended "no single right answer" challenges, including ...

NAVA Software Solutions

Data/AI Lead

Houston, TX · On-site

Data/AI Lead Location: Houston TX - 3 days /week Duration: Direct Hire / Full time role SUMMARY OF ... Leads cross functional teams including AI engineers, data scientists, data visualization engineers ...

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All JobsData Science Lead JobsData Science Lead Jobs in Houston, TX

Data Science Lead information

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$29

$66

$91

How much do data science lead jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data science lead in Houston, TX is $66.90, according to ZipRecruiter salary data. Most workers in this role earn between $57.84 and $75.05 per hour, depending on experience, location, and employer.

What is a data science lead?

Data Science Leads are professionals who oversee data science teams and projects within an organization. They are responsible for guiding data-driven strategies, managing data analysts and scientists, and ensuring the successful delivery of analytical solutions. Their role often includes project management, team mentorship, stakeholder communication, and hands-on technical work such as developing models and interpreting data. Data Science Leads bridge the gap between technical data teams and business leaders to drive organizational goals using data insights.

What are the key skills and qualifications needed to thrive as a data science lead?

To thrive as a Data Science Lead, you need deep expertise in statistical analysis, machine learning, and data modeling, usually supported by an advanced degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of cloud platforms (such as AWS or Azure) are typically required. Strong leadership, communication, and project management skills set top candidates apart by enabling them to guide teams and translate complex insights to stakeholders. These skills ensure effective team performance, drive actionable business strategies, and maximize the impact of data-driven initiatives.

How does a data science lead typically balance technical responsibilities with team leadership duties?

A Data Science Lead often splits their time between hands-on technical work and managing their team. While they actively contribute to model development, data analysis, and code reviews, they also spend significant time mentoring junior data scientists, coordinating project timelines, and aligning team efforts with business objectives. Effective Data Science Leads prioritize communication and delegation, ensuring the team remains innovative while meeting deadlines. This dual focus can be challenging, but it provides valuable opportunities for professional growth and impact across the organization.

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

AspectData Science LeadData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learning and programmingBachelor's degree in Statistics, Mathematics, or related fields; focus on data interpretation and reporting
Work EnvironmentLeads data science projects, collaborates with cross-functional teams, and develops predictive modelsAnalyzes data sets, creates reports, and provides insights to support business decisions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for strategic data initiativesCommon across various industries for operational and business analysis

The Data Science Lead focuses on leading complex data projects, developing models, and guiding teams, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles require strong analytical skills, but the Lead role involves more technical expertise and leadership responsibilities.

What cities near Houston, TX are hiring for Data Science Lead jobs?

Cities near Houston, TX with the most Data Science Lead job openings:

Data Science Lead jobs near you
Infographic showing various Data Science Lead job openings in Houston, TX as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $139,144 per year, or $66.9 per hour.

Lead Data Scientist

Houston, TX • On-site

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

Full-time

Re-posted 16 days ago

Job description

NAVA Software solutions is looking for a Lead Data Scientist
Details:
Lead Data Scientist
Location: Houston TX - 4 days onsite
Duration: Full time /Direct Hire
The Lead Data Scientist will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives. This role encompasses transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as machine learning, optimization, and cluster analysis.
The incumbent will lead and help to develop a newly formed data-scientists taskforce in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation. As part of this role the applicant will play a significant part in setting the AI & ML agenda for The Friedkin Group, including working with business units to define potential opportunities, and defining standards and best practice for AI & ML at TFG
ESSENTIAL FUNCTIONS
  • Translates business needs into analytics/reporting requirements to support data-driven decisions with required information & explain ability.
  • Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes.
  • Communicate complex data insights in a clear and effective manner to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making.
  • Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to solve complex business problems.
  • Ensure analytical insights and products are embedded into business processes.
  • Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch.
  • Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards with input from use case teams and business leadership.
  • Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization.
  • Foster a culture of innovation and continuous improvement and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFG's analytics expertise.
  • Work with wide landscape of business and technical stakeholders to proactively identify applicable new technologies and opportunities and detail and communicate how they can deliver measurable business value.
  • Own the analytics solution portfolio, including model maintenance and improvements over time.

SUPERVISORY RESPONSIBILITIES
  • Directly supervises one or more employees. Carries out responsibilities in accordance with the organization's policies and applicable laws.
  • Demonstrated ability to lead and manage data science projects, including, managing workflow and priorities, to ensure timely delivery of projects with high-quality outcomes.
  • Proven track record of recruiting, training, and retaining a skilled data science team, identifying talent gaps, and addressing them.

QUALIFICATIONS
  • A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role.
  • Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI).
  • Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.)
  • Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark).
  • Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop.
  • Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.,
  • Good understanding of programming best practices, building for re-use and highly automated CI/CD pipelines.

SOFT SKILLS
  • Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects.
  • Excellent problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights.
  • Sees overall 'picture' and alternative approaches and develop vision of what may be possible.
  • Strong interpersonal and communication skills, capable of working effectively with and developing trust from both non-technical and technical counterparts to influence key use case & enterprise decisions.

CERTIFICATES, LICENSES, REGISTRATIONS*
  • Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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