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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AdTech): Building and experimenting with scalable machine learning and statistical models for advertising campaign optimization, audience targeting, bidding, and fraud detection with an accent on large-scale data analysis and model experimentation. Focus on testing simulations and edge cases, maintaining algorithms, and bringing scalable solutions into production with cross-functional teams.
Location: Vilnius, Lithuania; onsite role
Salary: €3,300–€4,900 gross per month
Company
hirify.global develops advertising technology solutions using large-scale advertising data, machine learning, and cross-functional product and engineering expertise.
What you will do
Build and experiment with scalable machine learning and statistical models, including simulations, scenarios, and edge cases.
Develop solutions for advertising campaign optimization, audience targeting, bidding, and fraud detection.
Analyze large-scale datasets to support model development and decision-making.
Collaborate with Data Science, Engineering, Big Data, and Product teams to bring solutions into production and ensure they operate at scale.
Maintain and improve existing algorithms, investigating cases where models or solutions underperform.
Contribute ideas, challenge existing approaches, and share knowledge in a global, cross-functional team.
Requirements
2–5 years of professional experience in Data Science or a closely related field.
Strong mathematical and statistical skills, including statistical inference, and experience working with large datasets.
Hands-on experience with supervised and unsupervised machine learning techniques.
Proficiency in Python and SQL.
Understanding of data pipelines and ETL processes.
Strong analytical and problem-solving skills, including the ability to translate complex problems into practical, scalable solutions.
Ability to communicate ideas clearly and collaborate effectively across teams in an international environment.
Alignment with hirify.global’s guiding principles, including client value, ownership, collaboration, care, ambition, and decency.
Nice to have
Master’s or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, or a related quantitative field, or equivalent practical experience.
Experience with big data technologies such as Spark or Hadoop.
Knowledge of the AdTech industry, its solutions, and related web technologies.
Culture & Benefits
Dynamic, international, and collaborative work environment with opportunities for rapid learning and professional development.
Transparent leadership and support for career growth.
Additional annual vacation days, healthcare and accident insurance, and two Trust Days.
On-site canteen, pet-friendly office, referral rewards, global perks, work anniversary celebrations, and company events.
Commitment to an inclusive, equal-opportunity workplace that values diverse backgrounds and perspectives.
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