Perform quantitative and exploratory analysis across business and financial domains, including data mining, statistical analysis, and model development
Translate ambiguous business questions into structured analytical approaches, data pipelines, and model frameworks
Generate and test hypotheses using appropriate statistical, econometric, or experimental designs and extract actionable insights
Develop, train, evaluate, and maintain predictive and machine learning models (regression, classification, clustering, time series, etc.)
Support the design and development of Generative AI solutions and AI agents using Large Language Models (LLMs)
Assist in building end-to-end data pipelines, from data ingestion and preparation to modeling, validation, and deployment
Produce analytical reports, dashboards, and visualizations that highlight trends, drivers, and performance against KPIs
Convert technical findings into clear, business-ready narratives and recommendations for senior leadership
Partner with business stakeholders to present insights, answer questions, and support decision-making
Document methodologies, assumptions, results, and recommendations to ensure transparency and reusability
Identify opportunities for process improvement, automation, and advanced analytics across the organization
Demonstrate willingness to learn new tools, technologies, and techniques in a rapidly evolving analytics environment

Requirements

Currently pursuing a BA/BS or MS in Economics, Statistics, Data Science, Computer Science, Mathematics, or another quantitative discipline
Strong foundation in statistics, econometrics, experimental design, and analytical problem-solving
Ability to flex between Data Science (modeling, ML, AI) and Analytics (EDA, reporting, insights) based on business needs
Proficiency in Python or R, with experience using libraries such as pandas, scikit-learn, TensorFlow, PyTorch, PySpark, or similar
Experience with data querying and manipulation using SQL
Familiarity with cloud and data platforms such as Azure ML, Snowflake, or Google Analytics

Benefits

Medical/Dental/Vision
401 (k) match
PTO starting at 3 weeks' vacation + (7) paid holidays and (5) personal days
Employer-paid life insurance
Tuition reimbursement

Applicant Tracking System Keywords

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

Hard skills

data miningstatistical analysismodel developmentpredictive modelingmachine learningregressionclassificationclusteringtime seriesexperimental design

Soft skills

analytical problem-solvingcommunicationcollaborationpresentation skillsdocumentationprocess improvementadaptabilityinsight generationdecision-making supportnarrative development