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Datasets Jobs in Texas (NOW HIRING)

Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency in Python (clean, modular, well-documented code) * Experience with data visualization tools (D3.js ...

Analyze complex and large-scale datasets to identify trends, patterns, anomalies, and actionable insights. * Develop advanced SQL queries to extract, transform, validate, and analyze data. * Use ...

Ingest, profile, and validate large-scale supply chain datasets sourced from multiple suppliers, LSPs, ERP systems, TMS platforms, and carrier feeds that originate at the consumption layer ...

Data Scientist

Houston, TX · On-site

$90 - $130/hr

Ingest, profile, and validate large-scale supply chain datasets sourced from multiple suppliers, LSPs, ERP systems, TMS platforms, and carrier feeds that originate at the consumption layer ...

Key Responsibilities: • Ingest, profile, and validate large-scale supply chain datasets sourced from multiple suppliers, LSPs, ERP systems, TMS platforms, and carrier feeds that originate at the ...

Analyze complex and large-scale datasets to identify trends, patterns, anomalies, and actionable insights. * Develop advanced SQL queries to extract, transform, validate, and analyze data. * Use ...

Analyze ADT, CCD, and other healthcare datasets to identify trends, opportunities, and operational insights * Build and maintain a living inventory of available data feeds, fields, and coverage ...

The successful candidate will lead the analysis and integration of large-scale multi-omics datasets generated from both animal models and human studies. Summary The Research Specialist performs ...

Showing results 21-40

Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

What cities in Texas are hiring for Datasets jobs?

Cities in Texas with the most Datasets job openings:

Data Scientist

Beth Page tech

Houston, TX • On-site

Contractor

Re-posted 3 days ago


Job description

Job Title: Data Scientist

Location: Houston, TX (Fulltime)

Environment: Standard, 5-days onsite

Job Description :

Must-Have (Technical Expertise & Core Responsibilities)

  • Data Science & Machine Learning:
    • Strong foundation in mathematics, statistics, and machine learning
    • Experience with exploring and extracting insights from multi-dimensional datasets
    • Proficiency in Python (clean, modular, well-documented code)
    • Experience with data visualization tools (D3.js, Bokeh, Plotly, or similar)
  • Domain Knowledge:
    • Ability to understand commodity trading/energy sector datasets and business needs
    • Experience translating complex models into actionable commercial insights

Core Responsibilities:

  • Develop and implement machine learning models to transform energy trading operations
  • Lead Proof of Concept (PoC) projects including:
    • Automated information extraction from unstructured data
    • Refinery outage prediction
    • Shipping cost forecasting
    • Gas network disruption analysis
  • Create data visualizations for both technical and non-technical stakeholders
  • Collaborate with domain experts to design user-friendly ML solutions
  • Work with Data Science and IT teams to leverage existing tools for business value

Qualifications & Skills:

  • Master's/PhD in Computer Science, Data Science, or equivalent experience
  • 4-7 years of industry experience working with real-world datasets
  • Experience with Agile Scrum development methodology
  • C# development experience (plus)

Nice-to-Have (Preferred Experience):

  • Background in commodity trading, energy markets, or financial services
  • Experience with big data technologies and cloud platforms
  • Knowledge of optimization techniques for business applications