Data Modeller / Engineer II

Houston, TX 77079

Category: Data Job Number: 44477 Location Requirements: On-Site

Job Description


Position: Data Modeler / Engineer II 

Location: Houston, TX

Position details: Contract (Possibly C2H) 

 Job Summary 

We are seeking a hands-on Python-focused Data Analyst / Data Scientist with strong problem-solving skills and recent experience working with real-world datasets. The ideal candidate will have practical experience using Python, Pandas, SQL, and statistical modeling techniques to build data-driven solutions, automate workflows, and analyze complex business data. This role requires candidates who are actively coding and comfortable solving problems independently in a live technical environment without AI assistance. 

Key Responsibilities 

  • Develop and maintain Python-based solutions for data manipulation, transformation, and analysis.  

  • Work extensively with Pandas, NumPy, SQL, and related data analysis libraries to process large datasets.  

  • Build and optimize automated data pipelines, reporting workflows, and analytical tools.  

  • Perform regression analysis, forecasting, trend analysis, and statistical modeling on business datasets.  

  • Analyze structured and semi-structured data to identify insights, anomalies, and operational trends.  

  • Collaborate with cross-functional teams to translate business problems into scalable analytical solutions.  

  • Create dashboards, reports, and visualizations to support operational and strategic decision-making.  

  • Participate in technical discussions and explain problem-solving approaches clearly during live coding exercises.  

Required Qualifications 

  • Strong hands-on experience with Python and Pandas in recent/current roles.  

  • Experience with SQL and data manipulation techniques.  

  • Practical experience with regression modeling, forecasting, statistical analysis, or predictive analytics.  

  • Ability to independently write and debug Python code without AI assistance.  

  • Experience working with large datasets and building analytical workflows.  

  • Strong problem-solving and communication skills.  

  • Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Statistics, Information Systems, or related field preferred.  

Preferred Qualifications 

  • Experience with Scikit-learn, NumPy, Matplotlib, or Jupyter Notebook.  

  • Exposure to cloud platforms such as AWS, Azure, or Snowflake.  

  • Experience with ETL automation, dashboarding, or operational analytics.  

  • Background in financial services, operational analytics, retail analytics, or pricing analytics is a plus.  

Interview Process 

Candidates should be prepared for: 

  • A live Python and Pandas coding assessment  

  • Real-time problem-solving and data manipulation exercises  

  • Explaining coding decisions and analytical thought processes during screen sharing  

  • Independent coding without the use of AI tools  

Additional Requirements 

  • Must bring/use own laptop during the interview process.  

  • Must have Python, Pandas, and a working development environment installed and ready for live coding exercises.  

    IND123

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