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Data Scientist Jobs in Manvel, TX (NOW HIRING)

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Data Science & Machine Learning: * Strong foundation ...

Data Scientist

Houston, TX ยท On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative ...

Job Title Data Scientist Education Bachelor's Degree Location Houston, TX 77032 US (Primary) Career Level Professional Category Operations Job Type Permanent BridgeNet Solutions, a member of the PSA ...

The Data Scientist supports the analytical foundation of the BridgeNet 4PL program by transforming large-scale, multi-source supply chain datasets into clean, reliable, and decision-ready information ...

Data Scientist

Houston, TX ยท On-site

$90 - $130/hr

The Data Scientist supports the analytical foundation of the BridgeNet 4PL program by transforming large-scale, multi-source supply chain datasets into clean, reliable, and decision-ready information ...

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Data Scientist

Houston, TX ยท On-site

$90 - $130/hr

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Job Summary We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve ...

Senior Data Scientist Houston, TX Description: We are looking for a candidate with the ability to translate a business question into a data science solution. This requires that you have next to your ...

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Data Scientist information

See Manvel, TX salary details

$35.3K

$115.5K

$184.9K

How much do data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data scientist in Manvel, TX is $115,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $127,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Manvel, TX?

The most popular types of Data Scientist jobs in Manvel, TX are:

What are popular job titles related to Data Scientist jobs in Manvel, TX?

For Data Scientist jobs in Manvel, TX, the most frequently searched job titles are:

What cities near Manvel, TX are hiring for Data Scientist jobs?

Cities near Manvel, TX with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Manvel, TX as of August 2026, with employment types broken down into 78% Full Time, 16% Part Time, and 6% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $115,471 per year, or $55.5 per hour.

Data Scientist

Houston, TX โ€ข On-site

Sky Consulting Inc
Recruiting and Staffing Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 23 days ago


Job description

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
  • Collaborate with data scientists to translate models into production-ready code.
  • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
  • Design and optimize mathematical programming and machine learning models for real-world applications like Incentive elasticity model.
  • Expereince implementing scenario simulation algorithms.
  • Work independently to break down complex problems into actionable development tasks.
  • Ensure code quality, scalability, and maintainability in a production environment.
  • Contribute to sprint planning, documentation, and cross-functional collaboration.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements
Requirements
  • 8 years of experience working as a Data Scientist
  • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
  • Proficiency in Python, SQL, and PySpark.
  • Experience with Databricks or similar enterprise cloud environments.
  • Experience with production-level coding and deployment practices.
  • Familiarity with basic machine learning techniques and mathematical optimization methods.
  • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
  • Should have experience working on Price Elasticity.
  • Self-starter with an ownership mindset and the ability to work with minimal supervision.