Associate Data Scientist (College Grad 2027)

📋 Description

• Contribute to real predictive models in your first weeks: forecasting, matching, and scoring
• Pull and wrangle your own data with SQL from Snowflake. Nobody hands you a clean CSV here.
• Support the design and analysis of A/B tests and experiments, learning how to measure the true
• Work alongside data engineers to see how models get from a notebook into production, learning MLOps
• Apply statistics with rigor: knowing when a result is real, when it's noise, and how to tell the
• Present your findings and defend your methodology to technical and non-technical audiences. Your

🎯 Requirements

• A bachelor's or master's degree in Statistics, Data Science, Computer Science, Applied Math, or a
• Strong fundamentals in statistics and probability: hypothesis testing, regression, and the judgment
• Working Python skills, including the core data science ecosystem (pandas, scikit-learn, NumPy)
• Projects that show you can do real quantitative work: research, internships, Kaggle competitions
• A bias toward action. You have an exceptional craving for momentum, and you'd rather ship a simple
• Curiosity for how systems work, comfort with ambiguity, and a refined palate for controlled chaos.

🎁 Benefits

• Exposure to time-series forecasting (ARIMA, Prophet, exponential smoothing).
• Coursework or projects in causal inference or experimental design.
• Familiarity with dbt, Airflow, Docker, or cloud environments (AWS).
• Experience with NLP or unstructured text data.