Sr. Data Science Engineer, Realm-X

• Perform data discovery of stakeholders' needs, help design solutions, and collaborate with engineering on how their infrastructure should affect data transformation design.
• Design and enhance data models, schemas, quality testing, and database designs to support efficient data streaming in production.
• Partner where applicable to develop data documentation, including data dictionaries, data lineage, and integration processes.
• Collaborate with Engineering and Product teams to ideate on permutations of data structures that cater to multiple enterprise-scale products and applications.
• Evaluate the performance of LLMs in different experimental conditions with variations in training data, fine-tuning techniques, or model architectures.
• Embed with a team of software engineers, data engineers, and ML Engineers to build the foundational data models that power LLMs
• Produce and build tracking of various product success metrics related to conversational quality, coherence, relevance, and user satisfaction.

• Minimum of 5+ years of work experience in a technical role, Analytics/Data Engineering or Data Science.
• Full Stack Data Science/Engineering: experience in storing, moving, transforming, analyzing, and presenting data with the ability to understand and solve the types of challenges presented to those working in each part of the data stack
• Problem Solving & Project Management Skills: Demonstrated success in bridging the gap between high-level project requirements and complex application data
• Data/Analytics Engineering: Expertise in DBT data modeling, object-oriented programming, and the technical skills to build and deploy model pipelines to production.  Experience creating/editing widely used production tables.
• Data analysis, visualization, and exploration: Exploratory data analysis skills are a critical tool for data science engineers, and the results help answer important questions.
• Proficiency in SQL and Python-based (Pandas, Numpy, and/or Spark) approaches for data transformation.
• Modern Methods: experience with AWS/Cloud technologies, version control, and linux commands
• Communication: You have a wealth of experience collaborating with technical and non-technical teammates on complex data projects

• Experience working with product data at a software company
• Familiarity with Property Management/Real Estate Industry
• Experience with Kafka, Flink, and/or CDC pipelines
• LLM Prompt Engineering Experience

#LI-KB1