United Tech
IT
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at United Tech. Skills: Machine learning, Recommendation systems, Python, Cloud development. Improve Recommendation Systems. Define Data Science roadmap”
What You'll Achieve.
Influence product growth; Influence monetization; Enhance business performance; Enhance product effectiveness; Deliver ML-driven features; Improve model accuracy; Improve model scalability; Improve model efficiency
Industry & Context.
Investigate technical issues; Troubleshoot technical issues; Resolve technical issues
What They're Looking For.
Must Have
Machine learning, Deep learning, Recommendation systems, Python, ML, DL, Data science roadmap, Cloud development, AWS/GCP, API models, A tests process, Mathematics, Linear algebra, Statistics, SQL
Nice to Have
Social networking niche
What You'll Do.
Improve Recommendation Systems
Define Data Science roadmap
Deploy production-ready models
Create machine learning models
Develop machine learning models
Improve machine learning models
Implement MLOps best practices
Monitor model retraining
Troubleshoot technical issues
How You'll Work.
Team & Collaboration
Collaborate with Product Managers; Collaborate with Analysts; Collaborate with Engineers
Process & Methodology
Leading technical execution
Full Job Description
## Description About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide About your role: In this role, you will directly influence product growth and monetization by improving Recommendation Systems for gifts and coins. You’ll work end-to-end on ML solutions — from defining the Data Science roadmap and running experiments to deploying production-ready models — while collaborating closely with Product Managers, Analysts, and Engineers. The role offers a combination of hands-on machine learning, recommendation systems, MLOps, and strategic ownership in a fast-paced product environment where your work will have visible business impact. ## In this role, you will Create, develop, and improve machine learning models to enhance business performance and product effectiveness Collaborate closely with cross-functional teams, including Product Managers, Analysts, and Engineers, to deliver innovative ML-driven features and improvements Apply expertise in machine learning algorithms, data structures, and optimization techniques to improve model accuracy, scalability, and efficiency Implement and maintain MLOps best practices for model deployment, monitoring, retraining, and maintenance in production environments Investigate, troubleshoot, and resolve technical issues related to machine learning models, data pipelines, and infrastructure Stay up to date with the latest advancements, technologies, and best practices in machine learning, artificial intelligence, and data science ## It’s all about you 4+ of Machine learning and deep learning on tabular data, Recommendation s
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