Scientist 2, Data Science
Core
Build analytics and machine learning solutions to solve complex business problems using mathematics, statistics, and ML methods, taking ideas from concept through data preparation, model building, application development, and system integration.
Role type
Senior IC data scientist (machine learning & deep learning)
Builds
End-to-end analytics applications, production ML models, and intelligent dashboards
Domain
Data science, machine learning, deep learning, enterprise operations
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, machine learning algorithms, deep learning, data visualization, statistical reasoning, version control, Linux, containerization
Preferred skills
MLOps practices, cloud platforms (AWS/GCP/Azure), generative AI/LLMs, statistical modeling (time series, anomaly detection), R
Technologies
Python, R, SQL, GitHub, Linux, Docker, Tableau, Power BI, AWS, GCP, Azure
Responsibilities
Automate data extraction, cleaning, processing, and feature engineering; Develop advanced ML and deep learning models; Build and deploy end-to-end analytics applications; Visualize findings and model outputs; Validate and monitor deployed models; Document methodologies and pipelines; Translate findings into actionable insights
Seniority
Mid-to-Senior, hands-on IC
