Senior Data Scientist

We are looking for a Senior Data Scientist to join our team. This role leverages NLP/LLM and data science methods to identify customer friction in large volumes of text data and build tools and solutions that help us detect friction faster and improve our products faster. We're looking for someone with superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in NLP/LLM, and experience partnering with cross-functional teams

Responsibilities

• Shape strategic direction and key decisions related to customer friction by combining strong business acumen with advanced data science techniques
• Stay closely attuned to the fast-moving LLM and NLP landscape, applying emerging research methods to real-world use cases
• Build and deploy measurement frameworks, machine learning models, and NLP/LLM tooling that accelerate customer growth and enhance product quality
• Envision, scope, and lead high-impact initiatives in close collaboration with Operations, Engineering, Program Management, and Product Management
• Cultivate a strong Data Science culture by delivering technical training, promoting continuous learning, and mentoring fellow Data Scientists on the team

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Computer Science, or a related field
• A minimum of 3 years of relevant experience in Data Science or related disciplines
• Expertise applying a broad range of ML methods, including NLP and LLMs, to solve business problems, along with strong judgment on when and how to apply them
• Experience managing ML projects from end to end, including deployment and ongoing monitoring
• Strong command of SQL, along with high proficiency in another data science programming language such as Python or R
• A high standard for output quality, balanced with the practical judgment to weigh "available now" against "perfected later"
• Ability to explain complex technical concepts clearly to varied audiences and craft compelling narratives for non-technical stakeholders
• Proficiency with visualization tools such as Streamlit, Tableau, or R Shiny, along with libraries like matplotlib and bokeh
• Upper-intermediate English language skills or higher (B2)

Nice to have

• Experience with Amazon SageMaker, Apache Kafka, and Databricks for building and managing machine learning and data pipelines
• Familiarity with NLP preprocessing techniques for preparing text data for analysis and modeling
• Expertise with libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and model development