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.
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
Avanade provides innovative digital and cloud services, business solutions and design-led experiences on the Microsoft ecosystem. It is a sub-organization of Microsoft.