Data Scientist - AI for Business Functions

## Department Overview The AI for Business Functions organization uses data science, machine learning, sophisticated analytics, and AI technologies to address intricate business issues across functions such as Finance, Sales, Supply Chain, and Operations. The team transforms data into actionable insights, develops intelligent solutions, and drives data-driven decision-making through predictive analytics, optimization, and AI-enabled technologies. ## Position Overview As a Data Scientist Intern, you will work with business partners and data science professionals to develop analytical solutions that address real-world business challenges. You will apply statistical modeling, machine learning, optimization techniques, and generative AI technologies to analyze data, generate insights, and support strategic decision-making across the enterprise. ## Responsibilities - Collaborate with business partners to understand requirements and develop data-driven solutions that address complex business challenges. - Design, develop, and implement predictive models, forecasting solutions, machine learning algorithms, and statistical analyses. - Analyze large datasets to identify trends, patterns, risks, opportunities, and actionable business insights. - Apply generative AI, large language models (LLMs), optimization techniques, and simulation models to improve decision-making and business outcomes. - Develop visualizations, reports, and presentations that communicate analytical findings and recommendations to partners. ## Minimum Qualifications - 0–2 years of relevant experience through coursework, internships, research projects, academic projects, hackathons, or data science competitions. - Currently pursuing or recently completed a Bachelor's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. - Experience using Python and common analytics libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar tools. - Knowledge of statistical modeling, machine learning, data mining, data visualization, and analytical problem-solving techniques. - Experience using SQL and AI-enabled technologies, including generative AI and large language models (LLMs), to support data analysis, business insights, or solution development. ## Preferred Qualifications - Experience working with cloud platforms such as Snowflake, Google Cloud, AWS, Azure, or similar environments. - Familiarity with predictive analytics, forecasting, optimization, simulation modeling, or machine learning solution development. - Experience applying generative AI, LLMs, prompt engineering, AI agents, or AI-assisted analytics within business contexts. - Knowledge of data visualization tools such as Power BI, Tableau, Plotly, or similar platforms. - Strong communication, presentation, and partner engagement skills with the ability to translate technical findings into business recommendations.