Remote PhD Data Science Intern – Media Mix Modeling
FocusKPI Inc.Any, CA
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Overview
Schedule
Full-time
Part-time
Career level
Senior-level
Remote
Remote
Benefits
Career Development
Job Description
Duration: 3 monthsEmployment: Full-time, Paid InternshipCompensation: Based on experienceLocation: RemoteCompany: FocusKPIFocusKPI is seeking a highly motivated PhD Data Science Intern to join our team for a three-month, full-time engagement focused on the research, development, and advancement of Media Mix Modeling (MMM) algorithms.This is a hands-on, research-oriented role for someone with a strong foundation in statistics, econometrics, economics, or a closely related quantitative discipline who is interested in applying rigorous statistical methodology to real-world marketing and business problems.The ideal candidate will have deep theoretical knowledge combined with practical experience developing statistical models end-to-end—from problem formulation and data preparation through model development, validation, interpretation, and production implementation.The intern will work closely with senior data scientists and leadership to evaluate and enhance our MMM methodology, explore new modeling approaches, and translate advanced statistical techniques into scalable analytical solutions.
About the Role
What You Will Do
- 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
- Media response curves and saturation effects
- Adstock and carryover effects
- Incrementality and causal inference
- Channel interaction and synergies
- Seasonality, trends, and external factors
- Model regularization and variable selection
- Uncertainty estimation and statistical inference
- Bayesian and frequentist modeling approaches
- Develop model diagnostics and validation frameworks to assess model stability, predictive performance, statistical significance, and business interpretability
- Conduct simulation and experimentation to understand algorithm behavior under different data-generating conditions
- Compare alternative 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 understand the practical challenges of applying MMM to imperfect business data
- Collaborate with senior data scientists to document methodology, assumptions, limitations, and results
- Contribute to the development of next-generation MMM capabilities within FocusKPI
Required Qualifications
- PhD in Statistics, Economics, Econometrics, Applied Mathematics, Data Science, or a closely related quantitative field
- Statistical modeling
- Econometrics
- Regression and multivariate analysis
- Time-series analysis
- Probability and statistical inference
- Optimization
- Strong understanding of causal inference and observational data
- Problem formulation
- Data preparation and feature engineering
- Model specification
- Estimation
- Model diagnostics
- Validation
- Interpretation
- 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
Preferred Qualifications
- Direct experience with Media Mix Modeling (MMM)
- Experience with marketing measurement, marketing analytics, or advertising data
- Experience with Bayesian hierarchical models
- Experience with causal inference, experimentation, or uplift modeling
- Experience with time-series econometrics
- Bayesian inference / MCMC
- State-space models
- Regularization
- Constrained optimization
- Nonlinear regression
- Response curve estimation
- Monte Carlo simulation
- Experience with modern statistical computing frameworks such as PyMC, Stan, NumPyro, JAX, scikit-learn, statsmodels, or equivalent
- Experience taking research concepts and converting them into reusable production code
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.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 related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
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FAQs About Remote PhD Data Science Intern – Media Mix Modeling Jobs at FocusKPI Inc.
What is the work location for this position at FocusKPI Inc.?
This job at FocusKPI Inc. is located in Any, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at FocusKPI Inc.?
Employer has not shared pay details for this role.
What employment applies to this position at FocusKPI Inc.?
FocusKPI Inc. lists this position under the following employment categories:
- Full-time
- Part-time
What experience level is required for this role at FocusKPI Inc.?
FocusKPI Inc. is looking for a candidate with "Senior-level" experience level.
Does FocusKPI Inc. allow remote work for this role?
Yes, this position at FocusKPI Inc. supports remote work, giving candidates the flexibility to work outside the primary office location.
What benefits are offered by FocusKPI Inc. for this role?
FocusKPI Inc. offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at FocusKPI Inc.?
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