Senior Data Scientist / Tech Lead

Quick Facts

• Role: Senior Data Scientist / Tech Lead

Description

Lead the development, implementation, and validation of scalable AI/ML solutions, translating client business needs into data science problems. Own AI solution architecture, select the best tools/technologies, and oversee data pipelines and workflows with strong data quality and security standards. Coordinate with Data Engineering and Software Engineering teams to deliver AI applications and present insights clearly to stakeholders.

Responsibilities

• Lead ML solution development, validation, and alignment with project objectives

• Design AI solution architectures for complex business goals

• Research, test, and select AI tools/technologies to meet business requirements

• Translate business problems into data science problems

• Architect and oversee data pipelines/workflows (data quality and security)

• Coordinate with Data Engineering and Software Engineering teams to build AI applications

• Present findings and recommendations to stakeholders

• Prioritize and control tasks within Agile/Scrum to ensure timely delivery

Requirements

• 6+ years of commercial experience designing and implementing scalable AI solutions (ML, predictive modeling, optimization, NLP, computer vision, GenAI, LLMs, deep learning)

• Ability to build ML algorithms from scratch to production deployment

• Strong Python skills (clean code, OOP) and ML libraries (Scikit-learn, PyTorch/TensorFlow)

• Experience deploying solutions in cloud environments (AWS or Azure)

• Knowledge of LLM use cases: AI agents, semantic search, prompt engineering, multimodal embeddings, RAG

• High English proficiency (C1)

• Excellent communication skills and consulting experience with client interaction

• Experience with SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Knowledge of CI/CD principles (GitHub, GitHub Actions)

• Familiarity with MLOps, Kubernetes, and Docker

• Master’s or Ph.D. in a relevant field (Computer Science, Data Science, Mathematics, Physics, or related)

• Big Data experience (Spark, Hadoop, Kafka) is a plus

Benefits

• Supportive AI & Big Data team working on international projects

• Flexible work arrangements (remote or modern offices/coworking spaces)

• Career growth with knowledge sharing, language classes, and sponsored training/conferences (including partnerships with Databricks and Anthropic)

• Team-building events and integration budget

• Medical and sports packages; eye care; well-being support including psychotherapy and coaching

• Full work equipment (laptop and necessary devices)

• Support for personal branding (conferences, blog writing, meetups)

• Smooth onboarding with a dedicated buddy and an autonomous, friendly culture