Director Data Modeling, Measurement Innovation

Job Title

Job Description

About the Role:
Dotdash Meredith is seeking a technically strong Director of Data Modeling to lead advanced analytical initiatives within our Measurement team. This role is central to designing and deploying statistical models—particularly predictive modeling, causal inference, and optimization—leveraging large-scale 1st and 3rd-party datasets to quantify advertising effectiveness across our digital platforms.

You will collaborate closely with the Sr. Director of Campaign Measurement and a multidisciplinary team of data scientists, analysts, and engineers. Your work will inform data-driven decision-making and drive scalable measurement frameworks. The ideal candidate brings depth in statistical modeling, hands-on proficiency in Python and SQL, and the ability to interface with both technical and business stakeholders.

Hybrid 3x a week- NYC

In-office Expectations: This position is hybrid in-office, with the ability to work remotely for up to 2 days per week.

Key Responsibilities:

• Architect, implement, and validate advanced statistical models to measure advertising impact (e.g., propensity models, uplift models, media mix models, etc.).

• Build scalable, modular pipelines to support experimentation (e.g., A/B testing frameworks, holdout designs).

• Apply statistical techniques (e.g., causal inference, Bayesian modeling, hierarchical models) to solve complex measurement challenges.

• Standardize and automate data sourcing, feature engineering, and model monitoring workflows.

• Collaborate with Data Engineering and Data Operations to integrate modeling solutions into production systems (via BigQuery, GCP, etc.).

• Update, tune, and retrain machine learning models for ongoing campaigns and post-campaign analytics.

• Support internal experimentation strategy, including design of experiments (DoE), test/control segmentation, and power analysis.

• Communicate technical methodologies and insights to internal stakeholders and external clients, both technical and non-technical.

• Lead the analytical component of pilot projects and transition successful models into enterprise-wide deployment.

• Visualize model outputs and KPIs using modern BI tools and statistical graphics.

Qualifications:

• 8+ years of hands-on experience in predictive analytics, statistical modeling, or machine learning, preferably in digital media or advertising.

• Strong statistical programming in Python (Pandas, scikit-learn, statsmodels, etc.).

• Advanced SQL skills and experience querying large-scale datasets (preferably in BigQuery, Snowflake, or similar).

• Experience designing and interpreting controlled experiments (A/B tests, multi-cell tests).

• Background in integrating disparate data sources for unified modeling pipelines.

• Deep understanding of causal inference methodologies and model evaluation metrics.

• Familiarity with cloud infrastructure (GCP, AWS) for model deployment and data orchestration.

• Prior exposure to adtech stacks, including Google Ad Manager and Google Analytics.

• Strong data visualization and communication skills—ability to explain complex technical topics to senior business stakeholders.

• Proven client-facing experience, with an ability to clearly translate data science concepts into actionable business strategies.

• Detail-oriented mindset with excellent project prioritization skills in fast-paced environments.

Preferred Experience:

• Familiarity with healthcare-related measurement vendors such as Crossix, IQVIA, or Symphony Health.

• Experience managing technical team members across distributed teams and guiding modeling strategy across multiple business units.

It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing [email protected].

The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employees

Pay Range

The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of People Inc's total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, People Inc. provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with People Inc. and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.