Data Science Internship **ASU Partnership**
7150 East Camelback Road, Scottsdale, AZ, USA
Radix
Radix is a leading new domain registry, offering an extensive domain portfolio that empowers digital identities across the globe.About Radix
Radix is a fast-growing SaaS company serving the multifamily industry with actionable data and insights. Our values-Curiosity, Resilience, Impact, Courage, and Responsibility-are at the heart of how we operate and grow. At Radix, building products isn't just about adding features-it's about delivering transformative insights that empower the multifamily industry.
We believe that exceptional people build exceptional companies, and as a Data Science Summer Intern, you'll have the opportunity to apply your skills to real-world AI/ML challenges while learning from a team that values innovation and collaboration.
Term: 10-12 weeks (Summer 2025)
Location: Onsite in Scottsdale, AZ
Your Impact
As a Data Science Intern, you will:
- Work on cutting-edge AI/ML models, helping to enhance predictive analytics and automation within the multifamily industry.
- Develop and optimize data pipelines, feature engineering techniques, and machine learning workflows.
- Collaborate with data scientists, engineers, and business stakeholders to translate complex data into actionable insights.
- Apply statistical methods, forecasting models, and deep learning techniques to solve business challenges.
- Support data acquisition, cleaning, and preparation for structured and unstructured datasets.
- Explore large-scale datasets to identify trends, anomalies, and new opportunities for data-driven decision-making.
What You Bring
Essential Qualifications:
- Currently pursuing a Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
- Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch).
- Familiarity with SQL and database querying for data extraction and analysis.
- Experience with machine learning, statistical modeling, or optimization techniques.
- Ability to analyze and interpret data to drive meaningful business insights.
- A curious, problem-solving mindset with a passion for data-driven innovation.
Preferred Qualifications:
- Experience with cloud computing (AWS, GCP, or Azure) and MLOps tools.
- Exposure to big data technologies (Spark, Hadoop, or similar frameworks).
- Familiarity with visualization tools (Tableau, Power BI, or Matplotlib/Seaborn).
- Strong communication skills to explain technical concepts to non-technical stakeholders.
Why Join Radix?
- Hands-on experience with real-world data science projects in a dynamic industry.
- Mentorship and collaboration with experienced data scientists and engineers.
- Exposure to AI/ML advancements that drive impactful business decisions.
- A fast-paced, growth-oriented culture where your ideas are valued and implemented.
Tags: AWS Azure Big Data Computer Science Data pipelines Deep Learning Engineering Feature engineering GCP Hadoop Machine Learning Mathematics Matplotlib ML models MLOps NumPy Pandas PhD Pipelines Power BI Python PyTorch Scikit-learn Seaborn Spark SQL Statistical modeling Statistics Tableau TensorFlow
Perks/benefits: Career development Startup environment
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