Junior/Middle Data Scientist

Our client  is a full-service, integrated, media planning and buying agency. They align the most successful and efficient media strategies with the goals of their clients, regardless of channel. They are in the business of helping brands achieve success through best-in-class  media solutions by leveraging data, technology, and most importantly talented experienced teams.

Our client blends cutting edge research and technology with ingenuity, human insights and creativity, delivered in a seamless experience for brands. Their proprietary platforms and partnerships provide access to highly customized and powerful data. 

About the role

You’ll join our Marketing Science team to build, run, and explain econometric & causal models that quantify the impact of media and non-media drivers on business outcomes. Day-to-day you’ll own MMM pipelines (from data ingestion to reporting), run incrementality tests, and turn results into budget/flighting recommendations that marketers can act on.

Key responsibilities

• MMM development & maintenance: specify and fit models (adstock, saturation, carryover; hierarchical/Bayesian variants), manage feature engineering, priors, diagnostics, and retraining cadence.

• Causal measurement: design & analyze geo-tests and holdouts.

• Optimization & scenarioing: deliver budget allocation and “what-if” tools; communicate trade-offs, constraints, and uncertainty.

• Stakeholder enablement: translate model outputs for marketers, and media planners; produce concise decks/dashboards with clear recommendations.

• Documentation & governance: maintain modeling playbooks, data dictionaries, and QA checklists; ensure reproducibility and ethical use of data.

Requirements

• Solid statistics/econometrics foundation (regression, time series, regularization; basics of Bayesian inference).

• Comfortable in Python (pandas, numpy, statsmodels / scikit-learn); SQL for joins/aggregations; Git.

• Ability to clean/validate messy marketing data and communicate results in clear visuals (Plotly/Matplotlib, Tableau/Looker Studio).

• English B2+ for async docs and client-facing calls.

• Willingness to work within EST time zone (working hours 15:00 - 23:00).

Nice to have

• Experience with marketing/media planning concepts (reach/frequency, flighting, creative wear-out).

• Cloud familiarity (GCP/AWS), containerization, CI.

• Forecasting (SARIMAX/ETS), gradient boosting (XGBoost/LightGBM), uplift modeling.

• Privacy-preserving measurement patterns.

·   Bayesian tools (PyMC/Stan) and MMM libraries (e.g., Meta’s Robyn, LightweightMMM.

·   Experience shipping schedulable pipelines (Airflow/dbt) and working in BigQuery/Snowflake/Postgres.

What we offer

• Competitive compensation, based on experience.

• Possibility to work remotely.

• Medical insurance.

• An open, transparent and fun work culture.

• Career and professional growth.

• Long-term employment with paid vacation and other social benefits.