PhD Data Science Intern – Media Mix Modeling

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

⚪️ Entry-level

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

FocusKPI, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

💼 Consulting

🤖 Artificial Intelligence

Consulting • Artificial Intelligence • Data Analytics

FocusKPI, Inc. is a company that specializes in delivering high return on investment (ROI) results at scale through data analytics and machine learning. With over ten years of consulting experience, FocusKPI offers custom-built services to help businesses drive revenue and save costs. The company's core offerings include data analytics and machine learning services, enterprise AI products aimed at improving business operating efficiency, and staffing and recruiting services that provide high-quality talent with high retention rates. FocusKPI helps global brands achieve productivity and ROI improvements and is praised for providing high-quality and competitive services comparable to big-name companies. They integrate their solutions flexibly with common platforms such as data warehouse, public data, and CRM systems.

📋 Description

• Research and evaluate statistical and econometric approaches for Media Mix Modeling and marketing effectiveness measurement • Develop, test, and enhance MMM algorithms across the full modeling lifecycle • Work with time-series, panel, and observational marketing data to develop robust models of media response and business outcomes • Explore media response curves, saturation effects, adstock and carryover effects, incrementality and causal inference, channel interaction and synergies, seasonality, trends, external factors, regularization, variable selection, uncertainty estimation, statistical inference, and Bayesian and frequentist modeling approaches • Develop model diagnostics and validation frameworks assessing model stability, predictive performance, statistical significance, and business interpretability • Conduct simulation and experimentation to understand algorithm behavior under different data-generating conditions • Compare modeling methodologies and identify opportunities to improve model accuracy, robustness, and interpretability • Translate research findings into production-ready algorithms and analytical workflows • Work with real client datasets and address practical challenges of applying MMM to imperfect business data • Collaborate with senior data scientists to document methodology, assumptions, limitations, and results • Contribute to next-generation MMM capabilities within FocusKPI

🎯 Requirements

• PhD in Statistics, Economics, Econometrics, Applied Mathematics, Data Science, or a closely related quantitative field • Strong theoretical foundation in statistical modeling, econometrics, regression and multivariate analysis, time-series analysis, probability and statistical inference, and optimization • Strong understanding of causal inference and observational data • Demonstrated ability to develop statistical models end-to-end, including problem formulation, data preparation and feature engineering, model specification, estimation, model diagnostics, validation, interpretation, and implementation • Strong programming skills in Python • Experience working with large, complex datasets • Ability to translate mathematical and statistical concepts into practical algorithms • Strong analytical and problem-solving skills • Ability to work independently while collaborating closely with senior technical team members • Direct experience with Media Mix Modeling (MMM) preferred • Experience with marketing measurement, marketing analytics, or advertising data preferred • Experience with Bayesian hierarchical models preferred • Experience with causal inference, experimentation, or uplift modeling preferred • Experience with time-series econometrics preferred • Familiarity with Bayesian inference / MCMC, state-space models, regularization, constrained optimization, nonlinear regression, response curve estimation, and Monte Carlo simulation preferred • Experience with modern statistical computing frameworks such as PyMC, Stan, NumPyro, JAX, scikit-learn, statsmodels, or equivalent preferred • Experience taking research concepts and converting them into reusable production code preferred

🏖️ Benefits

• Full-time, paid internship • Internship-to-full-time opportunity • Remote work arrangement