Lead the development of
machine learning solutions
across OEC's Mechanical business, spanning
personalization ,
search and recommendations ,
forecasting ,
NLP ,
fraud detection ,
operational efficiency , and
GenAI . This is an individual contributor role on OEC's
Applied AI team , with end-to-end ownership from problem framing through production deployment and measured business impact.
What You'll Do
Build and optimize
search ,
ranking ,
recommendation , and
personalization
models.
Develop
forecasting
models for
demand ,
growth ,
conversion , and
churn .
Apply
NLP
and
entity resolution
to catalog, fitment, and repair data.
Design
fraud detection ,
anomaly detection , and
operational AI solutions .
Run
experiments ,
A/B tests , and
causal analyses
to measure impact.
Prototype and evaluate
LLM
and
agentic AI solutions .
Own models
end-to-end , from development through
deployment
and
monitoring .
Mentor other
data scientists
and establish
modeling best practices .
Partner with
Product ,
Engineering , and business leaders to deliver
measurable outcomes .
What You Bring
3+ years
of applied data science or machine learning experience.
Proven success deploying
production models
that improved
business metrics .
Expertise in several of the following:
Search, ranking, recommendations, and personalization
Forecasting and predictive modeling
NLP and text classification
Fraud, risk, or anomaly detection
Experimentation and causal inference
LLMs and AI evaluation frameworks
Strong
Python ,
SQL ,
AWS ,
Airflow , and
MLflow
experience.
Experience owning
ML systems
from development through production.
Demonstrated
technical leadership ,
mentorship , and
stakeholder management .
Nice to Have
Master's degree or PhD
in a quantitative field.
Experience in
B2B commerce ,
marketplaces , or
automotive .
Experience with
agentic AI systems ,
real-time inference , and
complex product catalogs .
How We Work
We value
collaboration ,
ownership , and pragmatic problem-solving.
We prioritize
shared success
over individual wins.
We expect scientists to
ship and own their work in production .
We are
measurement-first
and evidence-driven.
We encourage
experimentation ,
continuous learning , and challenging assumptions.
We leverage
AI-assisted development
while maintaining high standards for
quality ,
reliability , and
accountability .
Data Scientist (applied AI and ML) in Warsaw – pracodawca: OEC
OEC to doskonały pracodawca, który oferuje dynamiczne środowisko pracy w rozwijającej się organizacji Global Product Engineering. Pracownicy mogą liczyć na wsparcie w rozwoju kariery, innowacyjną kulturę pracy oraz możliwość wpływania na kluczowe projekty w obszarze technologii webowych i mobilnych. Dodatkowo, lokalizacja sprzyja współpracy z utalentowanymi zespołami inżynieryjnymi, co czyni tę rolę wyjątkową i satysfakcjonującą.
