Data Scientist

6 days ago


Tirupati, Andhra Pradesh, India 17LIVE Inc. Full time
Job Title: Data Scientist - Machine Learning Engineer for 17LIVE Inc.

Overview: At 17LIVE Inc., we're on a mission to empower artists through live streaming. Our cutting-edge platform connects users worldwide, and our team is dedicated to creating personalized experiences that drive engagement. As a Data Scientist - Machine Learning Engineer, you'll play a crucial role in shaping the future of our recommendation engine, ensuring seamless interactions between creators, viewers, and our innovative features.

Estimated Salary Range: $120,000 - $180,000 per year

About You: We're looking for exceptional individuals with a strong background in machine learning, statistics, and software engineering. Your expertise will enable us to deliver top-notch experiences for millions of users worldwide. If you're passionate about innovation, creativity, and driving growth, we'd love to hear from you

What You'll Do: As a key member of our team, your responsibilities will include designing and analyzing machine learning-based solutions, collaborating with cross-functional teams to develop and implement data-driven strategies, and contributing to the development of new features and enhancements for our platform.

Requirements: To succeed in this role, you should have a solid foundation in machine learning algorithms, statistical analysis, and software engineering principles. Experience with recommender systems, personalization, forecasting, conversational systems, outlier detection, and hypothesis testing is highly desirable. Additionally, proficiency in languages like Python (with R as a plus) and hands-on experience with relational databases and SQL are essential. A bachelor's or master's degree in engineering, data science, or a related field is also required.

Benefits: Joining 17LIVE Inc. means becoming part of a dynamic organization that values innovation, collaboration, and continuous learning. You'll enjoy benefits such as competitive salaries, flexible working arrangements, comprehensive health insurance, unlimited paid time off, and opportunities for professional growth and development.

How to Apply: If you're ready to embark on an exciting journey with a forward-thinking company, please submit your application. We can't wait to see your skills and passion shine

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