Data Scientist
Job Description
Job Description Job Description
Our client is actively looking to hire a Data Scientist for a Greenfield RTB System where they will build from scratch. Individual will Optimize their estimation models in order to improve the performance of our bidding algorithm and maximize performance for our customers. Plan, execute, and analyze experiments to understand the dynamics of our real time bidding marketplace. Eagerly explore the dark corners of our data in order to push our business forward. Utilize strong Python skills -- numpy, scipy, and scikit to quickly analyze data and prototype models that can be used in high volume distributed systems. Build out predictive and forecasting models using the ARIMA category ARIMA , ARIMAX, SARIMAX. Turn prototype models into production-grade models using Spark while managing job dependencies using Airflow. Monitor and measure statistical modeling performance using Prometheus and Grafana and ability to quickly build dashboards and alerts to make sure models are functioning effectively. Work with batch and online learning systems and build real time learning and training systems that are able to train over billions of data points a day.
Requires a Bachelor's Degree or equivalent in Statistics, Mathematics, Data Science or related field, plus 3 years of experience in position offered or a related occupation. Requires 3 years of data science experience. Requires 3 years of experience in the following technologies: Python, R, Java 8, Spark, Airflow, DataBricks, MySQL, Redshift, MongoDB, S3/Parquet, Amazon Web Services (AWS) or Google Cloud Platform (GCP). Requires 3 years of experience in machine learning modeling and A/B testing. Requires 3 years of experience building pipeline logics, ETL and data platform for large complex datasets. Requires 3 years of experience in natural language processing or Information Retrieval.