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Data Scientist (Middle/Senior, Speech)

Kyivstar

All Hybrid permanent

Posted: February 17, 2026

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Quick Summary

The Data Scientist at Kyivstar is a critical role that requires a strong background in Machine Learning, Deep Learning, and Speech Processing. The ideal candidate should have 4+ years of experience in building maintainable and production-ready ML code using Python, and have a fundamental knowledge of ML/DL theory.

Job Description

Data Scientist (Speech)

As part of the AI transformation strategy, Kyivstar invests resources into development of products and services that uses cutting edge ML and Speech technologies to significantly improve internal processes and day-to-day tasks, but also uses gained experience to help partners and clients to receive maximum benefits from these technologies too.

Necessary skills:
•4+ years of experience in Machine Learning, Deep Learning and Speech Processing
•Strong Python skills with experience building maintainable and production-ready ML code
•Fundamental knowledge of ML/DL theoretical concepts
•Hands-on experience with training and deploying models for various speech processing tasks including data preparation (e.g., speech classification, speech-to-text, text-to-speech, speaker diarization, etc.)
•Practical experience developing and deploying end-to-end production-ready ML pipelines, covering data gathering, preparation, training, validation, and inference
•Proficient in version control (Git) and containerization tools (Docker)

Would be a plus:
•Experience with real-time / low-latency speech systems
•Experience with distributed data processing and training in multi-node, multi-GPU environments
•Familiarity with PySpark for large-scale data processing
•Experience with Azure/AWS
•Exposure to Data Science in the Telecom industry

Responsibilities:
•Design, train, and optimize ASR and TTS models for production use
•Design, train, and evaluate classical ML models
•Perform feature engineering and data analysis for both speech and non-speech data
•Collaborate with DE/DevOps team to deploy the solution
•Plan and manage ML projects, articulate methodologies, and communicate results and business impact to stakeholders and customers

Proposed:
•Working with huge amounts of data at the largest operator in Ukraine
•Hands on experience with Cloud technologies and tools
•Great diversity of tasks and projects to utilize your knowledge and skills; flexibility in tools and approaches
•Opportunity to grow within the team of talented data scientists


Детальніше про нас:
Зазирніть в наш Instagram — там про людей, культуру та життя в Київстар → https://www.instagram.com/kyivstar.people
А останні новини про нас шукайте в LinkedIn --> https://www.linkedin.com/company/kyivstar/

Якщо в тебе залишились питання, ти можеш задати їх нам, рекрутерам Київcтар. Переходь в наш телеграм канал «Кар'єра з Київстар» і давай спілкуватись!

Робота в Київстар, який входить до міжнародної Групи компаній Київстар, вимагає від нас дотримання високого рівня ділової етики, юридичних зобов'язань, наших цінностей та Кодексу поведінки міжнародної Групи компаній Київстар, визначених політик і процедур. Ми прагнемо бути чесними та відкритими, діяти етично, правдиво і сумлінно. Ми розуміємо важливість захисту ваших Персональних даних та прагнемо використовувати провідний досвід у цьому напрямі. Натиснувши кнопку «Відгукнутися на вакансію», ви підтверджуєте, що ви прочитали, зрозуміли та явно погодилися з нашою Політикою конфіденційності.

More about us:
Discover our people, culture, and everyday life at Kyivstar on Instagram → https://www.instagram.com/kyivstar.people
Stay up to date with our latest news on LinkedIn → https://www.linkedin.com/company/kyivstar/

Working at Kyivstar, which is a part of the international Kyivstar Group Ltd., requires us to follow high standards of business ethics, legal obligations, our values, the Group’s Code of Conduct, and all defined policies and procedures. We aim to be honest and open, act ethically, truthfully, and responsibly.We understand the importance of protecting your Personal Data and strive to apply leading practices in this area. By clicking the “Apply for this job” button, you confirm that you have read, understood, and explicitly agree to our Applicants Privacy Policy.

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