23 часа назад
Data Scientist (AI)
2 225 - 4 550€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Python/PySpark/Databricks): Building a large-scale media intelligence platform and AI-powered audience analytics solutions with an accent on entity resolution, semantic matching, and production-grade machine learning workflows. Focus on designing scalable DataOps and MLOps pipelines, deploying reproducible models, and processing billion-row datasets across TV, digital, and connected-device data.
Location: Poland, Portugal, or The Netherlands. Fully remote, office-based, or hybrid work is available.
Salary: EUR 2,225–4,550 gross per month, depending on experience, location, and professional growth.
Company
is a global technology provider delivering data analytics and AI-powered solutions for organizations across multiple industries.
What you will do
- Own end-to-end delivery of complex data science projects, from problem definition and solution design to production deployment.
- Build production-quality Python and PySpark solutions on Databricks for large-scale data processing.
- Develop ML and AI workflows for entity resolution, probabilistic record linkage, semantic similarity, embeddings, and LLM-augmented pipelines.
- Apply DataOps and MLOps practices, including experiment tracking, pipeline orchestration, model monitoring, and reproducible deployment.
- Create reusable tools, libraries, documentation, and technical solution specifications.
- Review code, mentor junior data scientists, lead ML workshops, and collaborate with product, engineering, operations, and data engineering.
Requirements
- 3+ years of hands-on data science experience, including ownership of complex multi-sprint projects.
- Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or another quantitative field; a Master’s degree is preferred.
- Advanced Python skills and strong experience with SQL and PySpark, including billion-row datasets.
- Hands-on Databricks experience with Workflows, Delta Lake, and job orchestration.
- Knowledge of machine learning, experimental design, MLOps, Airflow-based orchestration, and reproducible model deployment.
- Familiarity with RAG, LLM applications, vector databases, semantic search, AWS or GCP, and Intermediate+ English.
Nice to have
- Knowledge of knowledge graphs, entity resolution, semantic data modeling, RDF, OWL, or SPARQL.
- Experience with probabilistic record linkage, identity graphs, embedding-based matching, causal inference, A/B testing, or uplift modeling.
- Background in media, ad tech, audience measurement, TV viewership, CTV/OTT, or privacy-constrained identity resolution.
- Familiarity with Nielsen, Comscore, LiveRamp, or The Trade Desk.
Culture & Benefits
- Choice of remote, office-based, or hybrid work.
- Mentoring, onboarding, professional development, and career growth opportunities.
- Corporate training portal and certification compensation for qualifications such as AWS and PMP.
- Private health insurance and sports compensation, depending on the type of employment.
- Annual bonus opportunity of up to EUR 1,000 per month based on expertise and participation in company activities.
- Referral program and corporate social activities.
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