Data Scientist (Product)
KalshiFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should have 3+ years of experience in data science or analytics, with a strong preference for product-focused teams and experience in recommendation or search ranking systems. Proficiency in Python and SQL is essential, along with experience using modern data tools such as dbt, Snowflake/Databricks, Mixpanel/Segment, and Looker/Omni/Tableau. Familiarity with ML libraries like Scikit-learn and XGBoost is required, and knowledge of deep learning frameworks like PyTorch is a bonus. Experience applying and evaluating LLMs in product-oriented settings is also necessary, coupled with a strong analytical mindset.
The Senior Data Scientist will own the data strategy for the Places app, focusing on building and optimizing a recommendations-first experience. This involves exploring user behavior, running experiments, and personalizing the product in collaboration with product, engineering, and design teams. Responsibilities include building and maintaining dashboards and metrics, analyzing user behavior and search logs to uncover patterns, improving data organization and infrastructure, designing and analyzing A/B tests, and leveraging off-the-shelf models for optimization. Additionally, the role requires applying and evaluating large language models for various tasks, collaborating with ML engineers on recommendations systems, and contributing to a data-driven culture by communicating findings.
Develops conversational AI software for businesses
Rasa develops software that allows machines to understand and respond to human language, focusing on conversational AI. Their main products include Rasa Open Source, which is a free platform for developers to create and customize chatbots and virtual assistants, and Rasa X, a paid solution that offers advanced features and support for businesses. Rasa's technology helps companies automate customer service, improve user engagement, and provide 24/7 support. Unlike many competitors, Rasa emphasizes community involvement through its open-source platform, allowing users to contribute to the software's development. The company's goal is to empower businesses of all sizes to enhance their customer interactions using intelligent AI solutions.