Sr. Data Scientist

• Work on designing, developing, implementing, and deploying machine learning-related models that process natural language and images
• Identify relevant data sources and automate data collection procedures
• Take charge of analysis and pre-process data for ensuring trained models have low variance
• Develop systems and tools for monitoring, visualizing, and analyzing the performance of production models
• Collaborate with different teams within the company to identify areas that can be improved and enable new processes and products using data science
• Build data products and tools for internal use
• Contribute ideas based on data-driven insights, solutions, and strategies to handle business challenges

Job Requirements:

• Bachelor s/Master s degree in a quantitative field (e.g. statistics, computer science)
• 5+ years experience as a data scientist applying quantitative methods to solve business and product problems
• Must have 3+ years of experience in all phases of managing data science projects - problem definition, solution formulation, model building, production, and delivering measurable impact
• Proficient with ML concepts, with experience in working with deep networks, model development, statistics, data visualization, and optimization
• Must be updated with modern NLP techniques (BERT), and libraries like spaCy, hugging-face and transformers
• An expert in Python development-related data stacks like - Numpy, Scikit-Learn, and Tensorflow
• Past experience in collaborating with cross-functional teams for the development of machine learning products
• Professional experience with Java is preferable
• Knowledge of designing Human-in-the-loop machine learning architecture would be an advantage
• A background in Computer Vision would be beneficial
• Must possess a curious and innovative mindset focused on quality
• Should possess a problem-solving attitude with excellent communication skills
• Open to working in a dynamic, applied-research group with several ongoing concurrent projects