Data Scientist – Mobile
Job not on LinkedIn
October 17
📋 Description
• Create, develop, and refine machine learning models to improve business effectiveness • Work with cross-functional teams, including product management and engineering, to design and deliver innovative features and improvements • Utilize your expertise in data structures, algorithms, and machine learning techniques to enhance model performance and efficiency • Apply best practices in MLOps to simplify deployment, monitoring, and maintenance of ML models in production • Troubleshoot and resolve technical issues related to machine learning models and pipelines • Stay up to date with the latest trends, technologies, and best practices in machine learning and AI
🎯 Requirements
• 2+ years of experience in machine learning and deep learning on tabular data or recommendation systems • 2+ years of commercial software development experience in Python and ML • Experience designing data science roadmaps and leading the technical execution of projects • Experience with cloud development (AWS/GCP) • Experience deploying API models in Dev/Prod environments • Practical understanding of A/B testing processes • Strong grasp of the mathematics behind modern machine learning, linear algebra, and statistics • Advanced SQL knowledge • Proven track record of completing the full data science project cycle — from data load to model deployment • Deep learning background • Team-oriented mindset, engagement, and focus on results
🏖️ Benefits
• 20 paid vacation days, 15 sick days, and 6 additional days off for family events • Up to 10 additional days off for public holidays • 100% medical insurance coverage • Sports and equipment reimbursement • Team building events, corporate gifts, and stylish merch • Online yoga with an instructor certified by the Ukrainian Federation of Yoga • Financial and legal support • Position retention and support for those who join the Armed Forces of Ukraine • Participation in social initiatives supporting Ukraine • Work from our Kyiv hub or remotely with a flexible schedule • Modern equipment or depreciation of your own tools • Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche • Performance-oriented reviews and Individual Development Plans (IDPs) • Reimbursement for professional courses and English classes • Corporate library, book club, and knowledge-sharing events
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