Quantitative Research Intern

Lensa is the leading career site for job seekers at every stage of their career. Our client, Avanade, is seeking professionals in Durham, NC. Apply via Lensa today!

Quantitative Research Intern - Innovation R&D (Avanade)

Overview

Join our Innovation R&D team within the Office of the Chief Technology Officer (CTO) as a Quantitative Researcher. Collaborate with the Head of Research and Head of Engineering to drive research initiatives using advanced statistical analysis, NLP, and predictive modeling. You will engage with cross-functional teams to explore emerging technologies like Agentic AI, embodied AI, and quantum computing.

At Avanade, The Innovation R&D Team

Are passionate about pushing the limits of Microsoft technologies and data analytics to drive strategic business insights.

Work out in the open - thriving on open dialogue, debate, sharing best practices, and solving problems through teamwork.

Are committed to growth - recognizing and celebrating achievements for both the organization and each individual.

Have a bias for action - proactively experimenting and iterating on innovative ideas to accelerate impactful outcomes.

Are hypothesis-driven, exploring how emerging technologies can generate impactful research insights.

Avanade Innovation R&D helps our clients not only see the future but create it. Through applied research, experimentation, and collaboration, we empower them to make smart bets and achieve step changes in competitive advantage. Our team is dedicated to good science, rigorous research methods, and the integration of AI in research workflows.

Key Responsibilities

Advanced Statistical Analysis: Conduct rigorous hypothesis testing, causal inference, and predictive modeling using Python.

Natural Language Processing (NLP): Develop NLP models for text classification, sentiment analysis, and topic modeling.

Survey Methodology and Psychometrics: Design and validate surveys, ensuring reliability and validity using psychometric techniques (e.g., factor analysis, IRT).

Machine Learning Integration: Develop and implement machine learning models for social data analysis and predictive insights.

Data Visualization and Reporting: Create compelling data visualizations and communicate findings to both technical and non-technical audiences.

Research Design and Experimentation: Design experiments (A/B testing, quasi-experiments) to test hypotheses and evaluate digital experiences.

Qualifications

Education: Master’s or PhD in Quantitative Psychology, Social Data Science, Computer Science, Data Analytics, or related fields.

Experience: Proven experience in quantitative research, NLP, predictive modeling, and psychometrics.

Academic or Professional Publications in relevant journals are highly valued.

Professional Skills

Advanced Statistical Analysis and NLP Expertise: Proficiency in hypothesis testing, causal inference, predictive modeling, text classification, sentiment analysis, and topic modeling using advanced NLP techniques.

AI Integration and Workflow Optimization: Experience with integrating AI tools to enhance research workflows, improve efficiency, and maintain high-quality outputs.

Communication and Collaboration: Strong problem-solving and critical thinking with a hypothesis-driven approach, coupled with excellent communication, cross-functional teamwork, and presentation skills for diverse audiences.

Technical Skills And Tools

Your technical skillset can be varied, but some of below would be a good indicator that you’re a great fit: 

Programming and Analysis: Proficiency in Python (SciPy, Statsmodels, NumPy, scikit-learn, TensorFlow, PyTorch) for data analysis, NLP, and predictive modeling.

NLP and Machine Learning: Experience with Hugging Face Transformers, SpaCy, NLTK for NLP tasks, and advanced machine learning models for clustering, classification, and causal inference.

Data Visualization and Collaboration: Strong skills in data visualization tools (Matplotlib, Seaborn, Plotly, Dash) and version control using GitHub and Jupyter Notebooks for effective collaboration.

About Avanade

Avanade is the leading provider of innovative digital and cloud services, business solutions, and design-led experiences on the Microsoft ecosystem. Learn more at [1] www.avanade.com.

Avanade is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Pay Rate: $25/hour

References

Visible links

• https://www.avanade.com/
  
  

We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.