technologies-expected

Wymagane, Python, Pandas, NumPy, Marketing Mix Modeling, Google Meridian, scikit-learn

technologies-optional

Mile widziane, Google Cloud Platform, BigQuery, Git, Docker, Looker, Tableau, Streamlit, Vertex AI

technologies-os

System operacyjny, Windows

Opis stanowiska

O projekcie, In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Senior Marketing Mix Modeling (MMM) Data Scientist to join our team. You will serve as the technical architect of the measurement strategy. You won't just run models; you will build the engine that defines how we allocate multi-million dollar budgets. Leveraging Google’s Meridian framework, you will bridge the gap between complex Bayesian statistics and actionable marketing intelligence, ensuring every dollar spent is backed by rigorous data science., , Type of project: IT Services, Office location: Poland, Work model: Remote from PL, Budget: 165 - 185 PLN net/ h - b2b, Only candidates with citizenship in the European Union and residence in Poland, Start date: ASAP

Twoje zadania

Twój zakres obowiązków, Design, develop, and refine end-to-end Marketing Mix Models using the Meridian framework to quantify the incremental impact of offline and online media channels, Build and maintain scalable Python pipelines for data ingestion, feature engineering (addressing seasonality, price elasticity, and macro-trends), and automated model validation, Utilize Bayesian methods to incorporate prior knowledge and reach deeper insights into diminishing returns (S-curves) and media ad-stock effects, Translate technical model outputs (ROI, mCPA, and contribution charts) into executive-level narratives that guide CMOs and media planners in budget reallocation, Partner with the broader Data Science team to calibrate MMM results using "Ground Truth" data from incrementality tests (Geo-experiments or Lift studies)

Wymagania

Proven track record of deploying Google’s Meridian (or similar Bayesian frameworks like LightweightMMM) in a production environment, Advanced proficiency in Python, specifically within the data stack (Pandas, NumPy, PyMC/ArviZ, and Scikit-learn), 6+ years of experience in econometrics or causal inference, with a deep understanding of time-series analysis and multivariate regression, A solid grasp of the modern media landscape, including nuances in programmatic, social, search, and traditional broadcast attribution, Very good English skills

Wymagania

Mile widziane, Experience scaling workflows on Google Cloud Platform (GCP), specifically using BigQuery for data warehousing and Vertex AI for model lifecycle management, Familiarity with CI/CD, Git workflows, and containerization (Docker) to ensure model reproducibility, Ability to build custom dashboards (Looker, Tableau, or Streamlit) to make model results accessible to non-technical stakeholders

work-organization-work-style

Tak pracujemy, u klienta, agile, scrum

training-space

Takie dajemy możliwości rozwoju, mentoring, szkolenia wewnątrzfirmowe, wsparcie merytoryczne od liderów technologicznych, wymiana wiedzy technicznej w firmie

Co oferujemy

To oferujemy, Remote working model, Collaboration with senior engineers and cross-functional teams, Dynamic and innovation-driven engineering environment, Full-time job agreement based on b2b, Private medical care with dental care (covering 70% of costs), Multisport card (also for an accompanying person), Life insurance

Co oferujemy

Benefity, dofinansowanie zajęć sportowych, prywatna opieka medyczna, ubezpieczenie na życie, możliwość pracy zdalnej, elastyczny czas pracy, spotkania integracyjne, opieka stomatologiczna, brak dress code’u

recruitment-stages

Etapy rekrutacji, HR Screen, Technical meeting, Decision

Opis stanowiska

Cyclad, In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future.

Opis stanowiska

Tak się u nas pracuje,

O projekcie

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Senior Marketing Mix Modeling (MMM) Data Scientist to join our team. You will serve as the technical architect of the measurement strategy. You won't just run models; you will build the engine that defines how we allocate multi-million dollar budgets. Leveraging Google’s Meridian framework, you will bridge the gap between complex Bayesian statistics and actionable marketing intelligence, ensuring every dollar spent is backed by rigorous data science.

Type of project: IT Services

Office location: Poland

Work model: Remote from PL

Budget: 165 - 185 PLN net/ h - b2b

Only candidates with citizenship in the European Union and residence in Poland

Start date: ASAP

Twoje zadania

Design, develop, and refine end-to-end Marketing Mix Models using the Meridian framework to quantify the incremental impact of offline and online media channels
Build and maintain scalable Python pipelines for data ingestion, feature engineering (addressing seasonality, price elasticity, and macro-trends), and automated model validation
Utilize Bayesian methods to incorporate prior knowledge and reach deeper insights into diminishing returns (S-curves) and media ad-stock effects
Translate technical model outputs (ROI, mCPA, and contribution charts) into executive-level narratives that guide CMOs and media planners in budget reallocation
Partner with the broader Data Science team to calibrate MMM results using "Ground Truth" data from incrementality tests (Geo-experiments or Lift studies)

Co oferujemy

Remote working model
Collaboration with senior engineers and cross-functional teams
Dynamic and innovation-driven engineering environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance

Etapy rekrutacji

HR Screen
Technical meeting
Decision

Senior Marketing Mix Modeling Data Scientist

Cyclad