Sr. Data Scientist

Sr. Data Scientist

Requirements

• 5+ years of professional experience as a data scientist, typically coding in Python with relevant libraries
• Demonstrated ability to select and implement ML algorithms, shape data into useful input features, and choose and optimize appropriate model performance metrics
• Proficiency with NLP, text processing, LLMs / generative models, and conversational UX
• Mathematical thinking foundation and orientation
• Skill working with data sources of various types using tools such as SQL, pandas, Spark
• Expertise designing and building deep learning architectures and models
• Ability to work well independently and with colleagues
• Skill collaborating using cloud-based tooling, git, notebook systems, and ML workflows

Responsibilities

• Train and tune machine learning models
• Explore data and conduct feature engineering
• Apply natural language processing to understand text and aid in conversational interfaces
• Build optimal algorithms with LLMs and retrieval augmented generation
• Collaborate with data engineers, AI software engineers, data analysts, and stakeholders
• Evaluate emerging techniques by understanding academic papers and new technical tools, and by conducting labs, prototypes, and explorations
• Monitor and optimize production models

Preferred Qualifications

• Deeply understand each problem, available data, and potential methods
• Monitor, learn, and apply emerging techniques
• Write high quality deployable code
• Wisely select approaches and evaluation methods
• Have productive interactions that lift the team and stakeholders
• Clear communicators (verbal and written)
• Analytical and perceptive of patterns
• Strong in understanding underlying math and algorithms
• Creative in finding relevant and novel approaches
• Productive in a dynamic setting