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Internship Python Developer Google information
What is the difference between Internship Python Developer Google vs Internship Data Analyst Google?
| Aspect | Internship Python Developer Google | Internship Data Analyst Google |
|---|---|---|
| Required Skills | Python, programming, basic data structures | Excel, SQL, data visualization |
| Work Environment | Software development teams, coding projects | Data analysis, reporting, dashboards |
| Industry Usage | Software, tech, AI projects | Business intelligence, marketing, operations |
Internship Python Developer Google focuses on coding, software development, and programming skills, often in AI or backend projects. In contrast, Internship Data Analyst Google emphasizes data analysis, visualization, and reporting skills for business insights. Both roles are valuable entry points in Google's tech ecosystem but serve different functions within the company's diverse projects.
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Full-time
Posted 8 days ago
Job description
Job Summary:
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in achieving their mission and goals. They are seeking a Senior SAS/Python Model Validation and Modernization Developer to support statistical model validation and modernization efforts, focusing on migrating legacy SAS applications to Python-based solutions.
Responsibilities:
• Test, validate, and analyze statistical, predictive, and analytical models.
• Evaluate model performance and assess the impact of parameter, assumption, and business-rule changes.
• Conduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior.
• Analyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement.
• Review existing SAS applications, scripts, and macros and develop migration strategies to Python.
• Convert SAS code, workflows, and analytical processes into maintainable Python solutions.
• Compare and validate SAS and Python outputs to ensure functional equivalency and accuracy.
• Develop automated testing frameworks and validation processes for migrated applications.
• Perform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior.
• Create technical documentation, validation reports, migration plans, and process diagrams.
• Collaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions.
• Support modernization initiatives and continuous improvement of analytical systems and processes.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field.
• 4+ years of experience developing analytical solutions using SAS and Python.
• Strong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows.
• Strong Python programming skills, including experience with Pandas, NumPy, and SQL.
• Experience testing, validating, and analyzing statistical or predictive models.
• Experience conducting model performance evaluations and impact analyses.
• Experience migrating SAS applications, scripts, or workflows to Python.
• Strong understanding of algorithms, data analysis, and quantitative methodologies.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong communication and documentation skills.
• Ability to work independently and as part of a team.
• U.S. Citizenship required.
Preferred:
• Previous experience supporting the U.S. Census Bureau or other federal statistical agencies.
• Active or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance.
• Experience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs.
• Experience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Git, CI/CD pipelines, and containerized environments.
• Experience with SAS Viya and modern analytics platforms.
Company:
BLN24 is a digital agency that provides marketing, media production, and UX design services. Founded in 2006, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in achieving their mission and goals. They are seeking a Senior SAS/Python Model Validation and Modernization Developer to support statistical model validation and modernization efforts, focusing on migrating legacy SAS applications to Python-based solutions.
Responsibilities:
• Test, validate, and analyze statistical, predictive, and analytical models.
• Evaluate model performance and assess the impact of parameter, assumption, and business-rule changes.
• Conduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior.
• Analyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement.
• Review existing SAS applications, scripts, and macros and develop migration strategies to Python.
• Convert SAS code, workflows, and analytical processes into maintainable Python solutions.
• Compare and validate SAS and Python outputs to ensure functional equivalency and accuracy.
• Develop automated testing frameworks and validation processes for migrated applications.
• Perform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior.
• Create technical documentation, validation reports, migration plans, and process diagrams.
• Collaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions.
• Support modernization initiatives and continuous improvement of analytical systems and processes.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field.
• 4+ years of experience developing analytical solutions using SAS and Python.
• Strong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows.
• Strong Python programming skills, including experience with Pandas, NumPy, and SQL.
• Experience testing, validating, and analyzing statistical or predictive models.
• Experience conducting model performance evaluations and impact analyses.
• Experience migrating SAS applications, scripts, or workflows to Python.
• Strong understanding of algorithms, data analysis, and quantitative methodologies.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong communication and documentation skills.
• Ability to work independently and as part of a team.
• U.S. Citizenship required.
Preferred:
• Previous experience supporting the U.S. Census Bureau or other federal statistical agencies.
• Active or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance.
• Experience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs.
• Experience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Git, CI/CD pipelines, and containerized environments.
• Experience with SAS Viya and modern analytics platforms.
Company:
BLN24 is a digital agency that provides marketing, media production, and UX design services. Founded in 2006, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.