Data Science Engineer - Remote (Req. #748)

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field 3+ years of experience in data science engineering or related roles Proficiency in Python and SQL Strong background in statistical modeling and machine learning algorithms Experience with feature engineering and end-to-end model development Hands-on experience with MLOps foundations Familiarity with Big Data tools (Databricks, Snowflake, Spark) Experience with workflow orchestration platforms (Airflow or Dagster) Understanding of cloud architecture and deployment (AWS, Azure, GCP) Experience deploying models as APIs or containers (Docker, FastAPI, Flask) Familiarity with prompt engineering techniques and AI tooling

Design and implement scalable data pipelines Develop, validate, and optimize machine learning models Conduct feature engineering, model selection, and statistical modeling Build and expose model APIs or containerized workflows Apply MLOps best practices Work with Big Data technologies Orchestrate complex workflows Collaborate with AI teams on prompt engineering and AI tooling Maintain familiarity with cloud platforms Partner with teams to translate requirements into technical solutions