Data Scientist
Core
Develop complex data-driven solutions and deploy impactful data products for a two-sided digital marketplace with an auction-based pricing model.
Role type
Senior IC Data Scientist (forecasting, recommendation, auction dynamics)
Builds
Advanced forecasting models, customer segmentations, recommendation engines, and specialized algorithms
Domain
B2B software marketplace, AI-driven buying decisions
Deliverable
production ML models
Required skills
Machine learning (supervised/unsupervised), statistical algorithms (Regression, Clustering, Linear Optimization), predictive modeling, anomaly detection, trend prediction, data processing workflows, cloud data warehousing (SQL Server, Snowflake, BigQuery), streaming data platforms (Kafka, Flink)
Preferred skills
Bidding marketplace and auction dynamics experience, consumer/business-facing digital brands experience, Unix/Linux environments, version control (Git/SVN), Prefect, AWS SageMaker
Technologies
Python, R, SQL, Kafka, Flink, Snowflake, BigQuery, SQL Server, Git, SVN, Prefect, AWS SageMaker
Responsibilities
Design models and run simulations to understand and predict bidding/auction dynamics; Identify opportunities to apply predictive models to improve vendor experience; Employ supervised and unsupervised machine learning techniques; Develop data-processing and technical workflows; Use advanced statistical techniques to fine-tune models; Partner with client support team to manage relationships with software vendors; Collaborate with Engineering and Product Management teams
Seniority
Mid-Senior (4-6 years experience or Master's/PhD with 2-4 years)