Middle Data Scientist, NLP

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Київстар

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Telecommunications

Київстар is a Ukrainian telecommunications company that offers a wide range of services for private individuals, businesses, and the public sector. These services include mobile communication, home internet, television services, and international roaming. Київстар provides various packages and tariffs to suit different needs, such as SIM cards, eSIM, internet packages, and bundles combining internet, TV, and mobile services. The company also supports social initiatives, facilitates online doctor appointments, and provides technical support and customer service through multiple channels. Київстар is committed to offering quality telecommunication solutions and fostering digital connectivity in Ukraine.

1001 - 5000 employees

Founded 1994

📡 Telecommunications

📋 Description

• Design, prototype, and validate data preparation and transformation steps for LLM training datasets, including cleaning and normalization of text, filtering of toxic content, de-duplication, de-noising, detection and deletion of personal data, etc. • Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher. • Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance. • Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness. • Collaborate with data engineers to hand over prototypes for automation and scaling. • Research and develop best practices and novel techniques in LLM training pipelines. • Monitor and evaluate data quality impact on model performance through experiments and benchmarks. • Research and implement best practices in large-scale dataset creation for AI/ML models. • Document methodologies and share insights with internal teams.

🎯 Requirements

• 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP. • Proven experience in data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.). • Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred. • Good knowledge of natural language processing techniques and algorithms. • Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs. • Familiarity with LLM training and fine-tuning techniques, and data requirements. • Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext). • Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models. • Ability to write efficient, clean code and debug complex model issues. • Solid understanding of data analytics and statistics. • Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance. • Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions. • Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications. • Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML). • Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus. • Experience working in a collaborative, cross-functional environment. • Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies. • Ability to rapidly prototype and iterate on ideas.

🏖️ Benefits

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace. • Remote onboarding. • Performance bonuses. • We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners. • Health and life insurance. • Wellbeing program and corporate psychologist. • Reimbursement of expenses for Kyivstar mobile communication.