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.