Data Scientist

This Senior Data Scientist role on the AI Platform Team builds and deploys scalable ML solutions for ad creative and campaign optimization. The role owns projects end-to-end, from problem framing to production monitoring, working with diverse datasets including image, video, audio, and text. Requires 5+ years in data science, strong Python skills, and experience with cloud infrastructure and MLOps tools.

Develops and applies statistical and machine learning models to solve business problems. Analyzes large datasets to derive insights and support decision-making. Collaborates with cross-functional teams to implement data-driven solutions.

This Senior Data Scientist role at Reddit focuses on improving the advertising platform through data-driven insights and advanced DS methods. The role involves designing and applying data science solutions for advertiser experience, analyzing large-scale datasets, and developing ML models for anomaly detection and prediction. It requires strong statistical modeling, causal inference, and experimentation skills, with experience in large-scale data processing tools like Spark and BigQuery.

This data scientist role supports key data science initiatives, collaborating with senior data scientists to develop and optimize solutions that drive business value. Responsibilities include developing and implementing data science algorithms, designing and executing A/B tests, and using Python and Jupyter notebooks to preprocess and analyze large datasets. Requires 3-10 years of experience, strong Python skills, and familiarity with GCP services like BigQuery, Google Cloud Functions, and Vertex AI.

This role takes end-to-end ownership of data modeling, building the 'Source of Truth' for strategic decisions using SQL, dbt, and Python in a CI/CD workflow. The engineer will design production-grade data models, ensure data integrity, and enable AI initiatives by building AI-ready data foundations. Requires 5+ years of analytics engineering experience, expert SQL, and hands-on dbt expertise.

This player-coach Team Manager role leads a team of 3-4 Enterprise Account Executives in EMEA, focusing on expansion revenue from large global customers. The role involves coaching, building account growth strategies, and personally managing a few strategic accounts. Requires 4-5 years of enterprise sales leadership experience, strong coaching ability, and a deep understanding of GenAI's impact on digital marketing.

This Customer Success Manager role on the Inside Sales team manages relationships with SMB customers of the Market Intelligence solution. The role focuses on driving product adoption, securing renewals, and identifying upsell opportunities to grow revenue. Requires 2+ years of commercial account management or sales experience, with strong communication and analytical skills.