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Summer Python Developer Google information
What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?
| Aspect | Summer Python Developer Google | Summer Data Analyst Google |
|---|---|---|
| Required Skills | Python, programming, data structures | Excel, SQL, data visualization |
| Work Environment | Software development teams, coding projects | Data analysis teams, reporting tasks |
| Industry Usage | Tech, software, AI projects | Business, marketing, product insights |
Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.
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Senior SAS/Python Model Validation and Modernization Developer
Mclean, VA โข On-site
Other
Re-posted 2 days ago
Job description
Senior SAS/Python Model Validation and Modernization Developer
Company: BLN24
About UsBLN24 is an awardโwinning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each clientโs endโstate, and then seamlessly integrating within each Agencyโs organization to improve and enhance strategic and technical operations and deployments.
Position OverviewBLN24 is seeking a Senior SAS/Python Model Validation and Modernization Developer to join our team. The successful candidate will support statistical model validation, algorithm analysis, and modernization efforts focused on migrating legacy SAS applications and processes to Pythonโbased solutions. This role will work closely with analysts, statisticians, data scientists, and business stakeholders to evaluate model performance, conduct whatโif analyses, validate outputs, and ensure the accuracy and reliability of missionโcritical analytical systems. Candidates with prior U.S. Census Bureau experience or an active/previous federal clearance are highly preferred.
Key Responsibilities- Test, validate, and analyze statistical, predictive, and analytical models.
- Evaluate model performance and assess the impact of parameter, assumption, and businessโrule changes.
- Conduct scenario analysis, sensitivity testing, and whatโif 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 equivalence 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.
- Bachelorโs 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 problemโsolving skills.
- Strong communication and documentation skills.
- Ability to work independently and as part of a team.
- U.S. Citizenship required.
- 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 ScikitโLearn, 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.
- Creative problemโsolving with a strong visual and storytelling instinct.
- Curiosity and experimentation with emerging technologies, particularly AI.
- Strategic mindset with the ability to connect content to broader campaign goals.
- Strong collaboration and communication skills.
- Ability to balance speed, quality, and innovation.
- You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance for variety while maintaining stability.
- Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.