Data Science Contractor

• Collaborate closely with other machine learning engineers and analysts to use and train state-of-the-art ML models for the product use cases assigned
• Understand the key metrics needed for such model evaluations
• Do in-depth data analysis to uncover insights and share them with the partner
• Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades
• Gain hands-on experience with various technologies, including PyTorch, AWS, Kafka, data bricks, etc.

• Actively pursuing a bachelor's, master's, or PhD in Computer Science, Information Technology, or a related field
• Demonstrate a keen interest in machine learning systems and eagerness to create impact via state-of-the-art data capabilities
• Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms, such as clustering and classification
• Proficient in at least one programming language, with a familiarity with basic data structures and algorithms
• Equipped with good verbal and written communication skills
• Detail-oriented, with a meticulous approach to problem-solving and project execution
• Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion

Having experience with big data and familiarity with distributed computation frameworks, such as Hadoop, Spark, and Hive, is desired but not mandatory