Work remotely between the hours of 9 – 5 PST
Collaborate with internal stakeholders to understand their goals and objectives, enabling data-driven decision-making across the organization
Utilize programming skills to explore and analyze data
Identify patterns, trends, nuances, and potential data quality issues within complex datasets
Apply supervised and unsupervised machine learning techniques to extract insights from data
Communicate analysis findings and conclusions effectively to both technical and non-technical stakeholders
Integrate datasets from diverse business sources into a unified format for analysis
Develop custom queries to address ad-hoc and ongoing customer analytical requests

Requirements

Pursuing a bachelor’s or graduate degree in a quantitative field (e.g., Data Science, Computer Science, Mathematics) and must not graduate prior to September 2026
Proficient in SQL, Python, and Pandas, with experience using Jupyter Notebooks
Skilled in creating visualizations with Python libraries (e.g., matplotlib, seaborn, plotly)
Familiar with statistical principles (e.g., hypothesis testing), the machine learning model lifecycle, and ML libraries (e.g., XGBoost, Sklearn)
Experience programmatically interfacing with large language models (LLMs) (preferred)
Experience working with Spark or Databricks (preferred)
Experience creating visualizations in Tableau (preferred)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonPandasJupyter NotebooksmatplotlibseabornplotlyXGBoostSklearnSpark

Soft Skills

collaborationcommunicationdata-driven decision-makinganalytical thinking