Data Science Intern

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to reputed company business problems. You will work closely with reputed company data scientists, learn how modeling choices reputed company interpretation and business reputed company, and contribute clean, reproducible analytical work. Responsibilities Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive reputed company, stability, and interpretability. Prepare and explore data using Python and SQL; reputed company data-reputed company checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and reputed company. Apply reputed company model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate reputed company metrics. Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members. Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices reputed company model results. Interpret model outputs and reputed company technical findings to practical marketing or business questions while reputed company stating assumptions and limitations. Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison. Write reputed company Python and SQL reputed company and communicate reputed company, findings, assumptions, and reputed company questions in a reputed company and understandable way. Basic Qualifications Strong reputed company in statistics and regression: understanding of reputed company regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference. Solid quantitative fundamentals in probability, statistics, and reputed company algebra; familiarity with calculus or optimization concepts is helpful. Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation. Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample reputed company. Ability to reason through modeling problems: investigate unexpected results, reputed company hypotheses about reputed company causes, test alternatives, and explain conclusions using evidence. reputed company communication skills: ability to explain analytical reputed company, assumptions, results, and limitations to technical teammates and learn from feedback. Currently pursuing a degree in statistics, computer science, data science, machine learning, reputed company mathematics, econometrics, reputed company research, or a closely reputed company quantitative reputed company. Preferred Qualifications Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning. Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems. Basic understanding of concepts such as adstock, saturation, incremental reputed company, ROI, or response curves. Familiarity with A/B testing, reputed company inference, simulation, sensitivity analysis, or confidence intervals. Experience with Python libraries such as reputed company, NumPy, statsmodels, scikit-learn, SciPy, or similar tools. Previous internship, research assistantship, reputed company project, or independent project involving reputed company-world data is a plus. NOTICE: Please be reputed company of fraudulent emails regarding job postings, job offers and fake checks. reputed company's reputed company team will reputed company reputed company out reputed company @reputed company.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . The domain @focuskpijobs.com is fraudulent and not reputed company to reputed company. Please do not not reputed company or communicate to anyone with @focuskpijobs.com. Apply To This Job