Data Scientist I

What you'll do

• Support translation of business and product requirements into data-driven analyses and ML solutions
• Partner with Engineering and senior Data Scientists to develop, test, and deploy ML and DL models
• Conduct exploratory data analysis to inform feature development and modeling approaches
• Build, run, and maintain pipelines to analyze production data, generate KPIs, and prepare automatic retraining of models
• Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms
• Train, evaluate, and iterate on traditional ML models and multimodal deep learning models under guidance
• Design and maintain Looker dashboards and other BI tools to track KPIs for stakeholders
• Develop and deploy agentic pipelines and LLM-powered applications including prompt engineering and model output evaluation
• Contribute to Machine Learning Engineering workflows for model training, deployment, and monitoring
• Document analyses, models, and learning to support knowledge sharing across team and non-technical audiences
• Continuously expand statistical and AI foundations while learning new AI/ML techniques and advertising-domain concepts

Requirements

• Bachelor’s degree in a quantitative field (e.g., Statistics, CS, Math, Physics, or Economics)
• 1–2+ years in a data-driven role such as Analytics, Data Science, or ML Engineering
• Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV
• Dependable SQL skills and experience designing pipelines or DAGs using tools like Airflow or Astronomer
• Exposure to cloud environments (AWS/GCP, Databricks, Snowflake) and large-scale query tools like Spark or Snowpark
• Strong grasp of A/B testing, experimental design, and statistical concepts (regression, classification, optimization)
• Experience with LLM prompting and interest in frameworks like RAG, LangChain, or agentic systems
• Ability to design dashboards for diverse audiences and collaborate effectively with Product and Engineering teams

Tech stack

Benefits