Heading
Austin, TX
Internship
Onsite
Intern
Avanade provides innovative digital and cloud services as a sub-organization of Microsoft. They are seeking a Quantitative Research Intern to collaborate with the Head of Research and Head of Engineering on research initiatives using advanced statistical analysis, NLP, and predictive modeling.
Apply NowResponsibilities
- Conduct rigorous hypothesis testing, causal inference, and predictive modeling using Python.
- Develop NLP models for text classification, sentiment analysis, and topic modeling.
- Design and validate surveys, ensuring reliability and validity using psychometric techniques (e.g., factor analysis, IRT).
- Develop and implement machine learning models for social data analysis and predictive insights.
- Create compelling data visualizations and communicate findings to both technical and non-technical audiences.
- Design experiments (A/B testing, quasi-experiments) to test hypotheses and evaluate digital experiences.
Qualification
Required
- Proficiency in Python (SciPy, Statsmodels, NumPy, scikit-learn, TensorFlow, PyTorch) for data analysis, NLP, and predictive modeling.
- Experience with Hugging Face Transformers, SpaCy, NLTK for NLP tasks, and advanced machine learning models for clustering, classification, and causal inference.
- Strong skills in data visualization tools (Matplotlib, Seaborn, Plotly, Dash) and version control using GitHub and Jupyter Notebooks for effective collaboration.
- Master’s or PhD in Quantitative Psychology, Social Data Science, Computer Science, Data Analytics, or related fields.
- Proven experience in quantitative research, NLP, predictive modeling, and psychometrics.
- Proficiency in hypothesis testing, causal inference, predictive modeling, text classification, sentiment analysis, and topic modeling using advanced NLP techniques.
- Experience with integrating AI tools to enhance research workflows, improve efficiency, and maintain high-quality outputs.
- Strong problem-solving and critical thinking with a hypothesis-driven approach, coupled with excellent communication, cross-functional teamwork, and presentation skills for diverse audiences.
- Conduct rigorous hypothesis testing, causal inference, and predictive modeling using Python.
- Develop NLP models for text classification, sentiment analysis, and topic modeling.
- Design and validate surveys, ensuring reliability and validity using psychometric techniques (e.g., factor analysis, IRT).
- Develop and implement machine learning models for social data analysis and predictive insights.
- Create compelling data visualizations and communicate findings to both technical and non-technical audiences.
- Design experiments (A/B testing, quasi-experiments) to test hypotheses and evaluate digital experiences.
Preferred
- Academic or Professional Publications in relevant journals are highly valued.
Benefits
- Exceptional development and training (minimum 80 hours per year for training and paid certifications)
- Real-time access to technical and skilled resources globally
- Dedicated career advisor to encourage your growth
- Engaged and helpful coworkers genuinely interested in you