Kyivstar

At the Kyivstar Big Data team, this role sits at the intersection of data, marketing and business impact. You will turn Big Data insights into practical targeting strategies that improve campaign performance and reinforce the value of data-driven marketing. This is a research-led advisory role focused on analysis, learning and influence rather than campaign setup or execution.

Responsibilities

•Analyze client briefs and business objectives to develop audience hypotheses and targeting approaches

•Research and map potential audience sources (events, apps, websites, behavioral signals, etc.)

•Recommend optimal audience selection and segmentation for promo campaigns

•Analyze campaign performance and convert results into actionable insights and improvement steps

•Prepare analytical briefs and requirements for Data Analysis team when deeper analysis is needed

•Build and maintain an internal knowledge base of audiences, use cases and proven targeting practices

•Advise B2B sales teams and clients on effective targeting strategies and realistic performance expectations

•Improve campaign quality through audits, post-analysis and structured recommendations

Requirements

•2+ years in digital marketing, media, research or other data-driven marketing environments

•2+ years’ experience in campaign analysis, marketing analytics, customer communications analysis or insights roles

•Strong analytical mindset with experience forming and testing hypotheses

•Ability to translate campaign data into clear, practical business recommendations

•Basic SQL is a plus

•Experience with CRM/direct channels (SMS, email, push, etc.) is a plus

•Strong interest in audience behavior, segmentation and decision drivers

•Ability to ask sharp questions, structure information and explain insights in simple business language

•Proactive, self-driven and comfortable working in a consultative, cross-functional environment

We offer

•A rare opportunity to help build a new data-driven business direction within Ukraine’s leading mobile operator

•Remote-first format with optional office visits

•Competitive salary plus performance bonus

•Paid vacation and sick leave

•Flexible working hours

•Comprehensive medical and life insurance

•Professional growth and career development opportunities

•A friendly, supportive and collaborative team

Project description

As part of the AI transformation strategy, Kyivstar invests resources in the integration of GenAI/Speech technologies into 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.

One of the key directions of this strategy is the development of AI assistants and services for external partners and clients. To achieve this, company is looking for AI Engineer (Speech) - specialists in the field of GenAI and Speech Processing with deep ML/DL background and practical skills in developing AI assistants and voice bots.

Necessary skills

• 4+ years of experience in ML/DL with strong focus on STT/TTS
• Hands-on experience training and deploying models for various speech processing tasks (e.g., speech classification, speech-to-text, text-to-speech, and speaker diarization)
• Practical experience building AI applications using LLMs
• Strong Python skills with experience in writing scalable software modules
• Fundamental knowledge of  ML/DL theoretical concepts
• Familiarity with RESTful APIs and basic web development principles
• 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
• Experience with LangChain, LangGraph, and FastAPI
• Experience with Azure/AWS
• Familiarity with PySpark for large-scale data processing
• Exposure to Data Science in the Telecom industry

Responsibilities

• Design, train, and optimize ASR and TTS models for production use
• Design and develop AI-powered assistants
• Fine-tune and optimize large-scale models for specific business needs
• Collaborate with 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