ZipRecruiter

Log In

1

Manager Data Scientist Jobs in Texas (NOW HIRING)

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

As a Data Scientist, you will apply strong expertise through the use of machine learning, data ... Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. * Design and ...

State Farm

Data Scientist

Richardson, TX · Hybrid

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... data science, quantitative marketing, operations research, industrial engineering, etc.

The Michael's Companies

Manager - Data Science

Irving, TX · On-site

$100 - $130/hr

R00305818Support Center - IrvingThe Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate ...

KPMG

Data Scientist- Manager

Dallas, TX · On-site

... end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization * Collaborate closely with product managers, audit ...

3B Staffing LLC

Data Scientist

Austin, TX · On-site

Data Scientist Required Qualifications: * Educational Background: * Bachelor's or Master's degree ... Experience with SQL and other database management systems (e.g., Azure SQL, PostgreSQL, etc.

Munich Re

Data Scientist

Houston, TX · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

3B Staffing LLC

Data Scientist

Austin, TX · On-site

Data Scientist Required Qualifications: * Educational Background: * Bachelor's or Master's degree ... Experience with SQL and other database management systems (e.g., Azure SQL, PostgreSQL, etc.

Munich Re

Data Scientist

Arlington, TX · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

About You You are an experienced data scientist energized by ambiguous, high-stakes problems. You ... Experience with CMMS (Computerized Maintenance Management Systems), Supervisory Control and Data ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview ... Skills & Abilities - Ability to independently manage and deliver on complex projects. - Strong ...

General Motors

Data Scientist

Austin, TX · On-site +1

The Role As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of ... Deliver results on time while managing risks and maintaining methodological and operational quality.

Michaels Stores

Manager - Data Science

Irving, TX · On-site

The Manager - Data Science role is essential for determining effective CRM tactics that drive long-term customer value, utilizing advanced analytics and machine learning techniques to optimize ...

SwiftCruit

Data Scientist

Spring, TX · On-site

$71.50 - $164.40/hr

Data Scientist This role has been designed as "Onsite" with an expectation that you will primarily ... Management Level Definition Contributes to assignments of limited scope by applying technical ...

NovationIQ

Data Scientist

Center, TX · On-site

$100 - $140/hr

Support the creation of predictive models related to load monitoring and management, player ... Experience working in a Data Science, Machine Learning, Applied Statistics or similar role.Proven ...

previous pagenext page

Showing results 21-40

All JobsData Scientist JobsManager Data Scientist JobsManager Data Scientist Jobs in Texas

Manager Data Scientist information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do manager data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager data scientist in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What are the most commonly searched types of Data Scientist jobs in Texas?

The most popular types of Data Scientist jobs in Texas are:

What cities in Texas are hiring for Manager Data Scientist jobs?

Cities in Texas with the most Manager Data Scientist job openings:

Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Lead Data Scientist

Inabia Software & Consulting Inc.

Houston, TX • On-site

Contractor

Posted 4 days ago

Job description

Hello,

Role: Lead Data Scientist

Client: CoAction
Location: Houston, TX 77002
Job Type: Full-Time
Client- Candidate would get to know while being in the interview
Visa Type: Only USC and GC (Not accepting OPT & H4 EAD and H1B)
Job Description: 
About the Organization
Our organization is committed to delivering high-quality, efficient services while creating exceptional experiences for the communities we serve. We value innovation, collaboration, data-driven decision-making, and continuous improvement.
We are seeking an experienced Lead Data Scientist to provide advanced analytical expertise, lead complex data science initiatives, and deliver actionable insights that support strategic and operational decision-making.
Position Summary
The Lead Data Scientist will lead the analysis of complex and unstructured datasets using advanced statistical, analytical, and machine learning techniques.
This individual will provide in-depth data insights for complex business problems, lead cross-functional projects, develop predictive models and algorithms, and translate analytical findings into clear and actionable recommendations for technical and non-technical stakeholders.
The Lead Data Scientist will also provide technical guidance and mentorship to other data scientists and contribute to the development of data science capabilities across the organization.
Key Responsibilities
  • Lead high-priority and complex data science projects that have a significant organizational impact.
  • Analyze structured and unstructured datasets using advanced statistical and analytical techniques.
  • Develop custom data models, algorithms, and predictive solutions to address complex business problems.
  • Apply machine learning and statistical models to key business metrics and operational challenges.
  • Perform research, data analysis, modeling, data mining, visualization, and pattern analysis.
  • Develop and test hypotheses and communicate findings in a clear, precise, and actionable manner.
  • Maintain existing analytical models and evaluate model performance and goodness of fit.
  • Identify opportunities to improve operational efficiency, productivity, scalability, and business outcomes through data.
  • Work closely with cross-functional teams to identify, investigate, and resolve complex data issues.
  • Gather requirements and translate business needs into analytical solutions.
  • Provide technical leadership, coaching, and mentoring to other data scientists.
  • Train broader teams on data science methodologies, tools, and developments.
  • Assist in evaluating data science vendors, technologies, platforms, and tools.
  • Lead multiple projects simultaneously while managing competing priorities and deadlines.
  • Troubleshoot complex analytical and data-related issues and recommend appropriate solutions.
  • Support strategic and operational decision-making through advanced data insights.
  • Perform other duties and projects as assigned.
Desired Skill Set
  • Advanced data science and analytics
  • Machine learning and predictive modeling
  • Advanced statistical analysis
  • SQL and database management
  • Data mining and data visualization
  • Structured and unstructured data analysis
  • Statistical modeling and hypothesis testing
  • Time-series forecasting
  • Regression analysis
  • Clustering and classification
  • A/B testing
  • Data storytelling and visualization
  • Business and technical requirements gathering
  • Project leadership and management
  • Cross-functional collaboration
  • Technical mentoring and team leadership
  • Problem-solving and analytical reasoning
  • Executive and stakeholder communication
Minimum Qualifications
Education
  • Bachelor's degree in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM field required.
  • Master's degree in Data Science preferred.
Licenses/Certifications
  • None required.
Experience, Knowledge & Skills
  • Minimum 7 years of professional experience in Data Science.
  • Experience in a hospital, healthcare, medical informatics, healthcare information technology, healthcare finance/revenue cycle, or Electronic Health Record (EHR) data environment is preferred.
  • Strong business analytical skills, including process analysis, modeling, spreadsheets, and workflow analysis.
  • Strong technical, mathematical, and analytical capabilities.
  • Deep understanding of machine learning techniques, including:
    • Clustering
    • Decision tree learning
    • Artificial neural networks
    • Predictive modeling
    • Classification techniques
  • Advanced knowledge of statistical concepts and techniques, including:
    • Regression
    • Statistical testing
    • Probability and distributions
    • Hypothesis testing
    • A/B testing
  • Advanced understanding of the data science project lifecycle.
  • Strong programming skills and experience with statistical analysis tools.
  • Advanced knowledge of SQL and database management.
  • Experience researching and resolving data issues involving large, complex, and incomplete datasets.
  • Exceptional analytical and problem-solving skills.
  • Ability to interpret and communicate complex analytical results.
  • Strong project management skills and ability to independently manage multiple projects.
  • Strong written and verbal communication skills with the ability to communicate effectively with technical and non-technical audiences.
  • Ability to work with minimal supervision in a fast-paced, multidisciplinary environment.
  • Strong customer-service orientation and commitment to producing high-quality analytical work.
  • Ability to manage challenging stakeholder situations and provide effective solutions.
Preferred Healthcare Experience
Candidates with experience working with the following are highly desirable:
  • Hospital or healthcare data
  • Electronic Health Records (EHR)
  • Healthcare IT
  • Medical informatics
  • Healthcare finance
  • Revenue cycle data
  • Clinical or operational healthcare analytics
Ideal Candidate Profile
The ideal candidate will be a senior-level data scientist with 7+ years of hands-on data science experience and strong expertise in advanced analytics, machine learning, statistical modeling, SQL, and predictive modeling.
Candidates who have combined technical data science expertise with healthcare or hospital data experience are especially desirable.
The successful candidate should be comfortable leading complex projects, mentoring other data scientists, working with large and incomplete datasets, and translating sophisticated analytical findings into practical business recommendations.

Powered by JazzHR

0bs81xEexf