Data Scientist, Adtech

Data Scientist – Digital Advertising & Marketing Technology

Employment Type:

Full-Time

Role Overvie
wAs a Data Scientist in our advertising technology division, you will design and implement machine learning models and optimization algorithms that drive ad delivery efficiency and maximize campaign outcomes. This role involves end-to-end ownership—from hypothesis formulation and feature engineering to deployment and continuous improvement in production environments

.
Key Responsibiliti
es Define optimization problems for ad delivery and establish KPIs, metrics, and monitoring dashboard
s.Perform data preprocessing, feature engineering, and model development for tasks such as price optimization, CTR/CVR prediction, and creative performance analysi
s.Conduct offline evaluations and simulations, followed by online deployment and A/B testing strategie
s.Implement MLOps practices including training/inference pipelines, drift detection, automated rollback, and governance for quality and privac
y.Collaborate with product, engineering, and operations teams to translate business requirements into actionable data solution

s.
Technical Environm
ent Cloud-based infrastructure (e.g., GCP or equivale
nt)
Big data tools (Big Query, Dataflow, Pub/S
ub)
Distributed systems and real-time process
ing Programming languages:
Python,
GoInfrastructure automation:
Terraform, Ansi

ble
Mandatory Qualificat
ions3+ years of experience in data analysis and machine learning using Python and
SQL.Proficiency with libraries such as Pandas, Num Py, scikit-learn, and visualization to
ols.

Hands-on experience with large-scale data processing (Spark, Big Query) and reproducible analytics workfl
ows.

Strong foundation in statistics, probability, and experimental design (A/B testing, causal inferen
ce).Experience building and deploying ML models (regression, classification, tree-based methods, basic neural networks) with robust evaluation strateg
ies.

Knowledge of digital advertising concepts (CTR/CVR prediction, bidding strategies, KPI optimization) or similar optimization doma
ins.

Practical experience in production ML systems, including monitoring and drift detect
ion.

Excellent communication skills for stakeholder collaboration and presenting analytical insig
hts.

Degree in Computer Science, Statistics, Applied Mathematics, or related fi
eld.

Fluent English (TOEIC 800+ or equivale

nt).
Preferred Qualifica
tions

Understanding of ad auction mechanisms (first-price/second-price, bid shading, reserve price optimizat
ion).

Experience with advanced optimization techniques (Bayesian optimization, multi-armed bandits, reinforcement learn
ing).Familiarity with creative optimization and generative AI for ad con
tent.

Knowledge of real-time streaming platforms (Kafka, Flink, Beam) and online inference sys
tems.

MLOps best practices (feature stores, CI/CD, containerization, monitor
ing).Cloud experience with GCP, AWS, or A

zure.