Data Scientist
Job Description
We are looking for a Data Scientist. This is your chance to work on building data pipelines from the ground up alongside a talented team of data engineers and developers. As you grow in the role, you will have the opportunity to lead the Data Science team and make a lasting impact on our product and business.
About the product: It is a global streaming platform where users can find interesting streamers, send messages, and chat via video. Our mission is to help people overcome loneliness and boredom by creating a space for real-time interaction and positive emotions. With high-quality video streaming, 24/7 live events, and seamless online chats, we ensure a top-notch user experience without any ads. Our team is growing, with exciting opportunities to influence the product and tackle complex challenges, including AI integration and data-driven tasks. Our goal is to reach the top 5 streaming products within three years. Join us and shape the future of a product used by over 1 million people!
In this role, you will
- Create, develop, and refine machine learning models to improve business effectiveness
- Work with cross-functional teams, including product management and engineering, to deliver innovative features and improvements
- Apply your knowledge of data structures, algorithms, and machine learning techniques to optimize model performance and efficiency
- Implement MLOps best practices to streamline the deployment, monitoring, and maintenance of machine learning models in production
- Troubleshoot and resolve technical issues related to machine learning models and pipelines
- Stay updated on the latest trends, technologies, and best practices in machine learning and AI
Itβs all about you
- 2+ years of experience in machine learning and deep learning on tabular data and recommendation systems
- 2+ years of software development experience in Python, with a focus on ML
- Proven experience designing a data science roadmap and leading technical execution
- Experience with cloud platforms (AWS/GCP/QWAK)
- Hands-on experience deploying API models in Dev/Prod environments
- Practical knowledge of A/B testing processes
- Strong understanding of mathematics, including linear algebra and statistics
- Extensive SQL expertise
- Excellent communication skills, team-player
- Responsibility and willingness to perform tasks independently
- Experience in the social networking niche
- A focus on tabular data and recommendation systems is preferred over experience solely in computer vision or text processing
Would be a plus
What we offer
- Our products are in top positions in their categories on App Store and Google Play. We are free to implement our ideas and directly influence products, cherishing our users. Your work will be seen by millions of people worldwide. Join us and shape the future of social networking industry!
- 20 paid vacation days, 15 sick days, and 6 additional days off for family events
- 100% medical insurance coverage
- Sports and equipment reimbursement
- Online yoga class with an instructor from the Ukrainian Yoga Federation
- Team building events, corporate gifts, and stylish merch
- 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
- 70% of our heads and leads have grown into their roles here β so can you!
- Performance-oriented reviews and Individual Development Plans (IDPs)
- Reimbursement for professional courses and English classes
- Corporate library, book club, and knowledge-sharing events
Care and support:Β
Comfortable working environment:
Investment in your future:
Hiring process
- Intro call
- Tech Interview
- Test task
- Final Interview
- Reference check
- Offer
P.S. Noticed a perfect match for your friend? We accept recommendations for all vacancies. If you are ready to refer your candidate, you can do it now: Π‘lick Here!Β
Date Posted
11/28/2024
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