Data Scientist

Role Overview

At Accendra Health, we are seeking a highly skilled Data Scientist with a strong background in machine learning, data engineering, and model optimization. The ideal candidate will build machine learning models that exceed user expectations, driving measurable value for the business through expertise in time series forecasting, feature engineering, and data model performance evaluation.

Responsibilities

• Develop and optimize machine learning models with a focus on time series forecasting and predictive analytics.
• Perform feature engineering and data model optimization to enhance model accuracy and efficiency.
• Continuously evaluate model performance using metrics such as MAPE, RMSE, R².
• Build and implement data pipelines using PySpark, SQL, and cloud-based solutions.
• Work on large-scale data integration projects leveraging tools such as Boomi, SnapLogic, SSIS, or Palantir.
• Utilize Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling and automation.
• Design and maintain data warehouse solutions to support advanced analytics.
• Deploy, monitor, and continuously improve machine learning models in production environments.

Requirements

• Proficiency in Python, PySpark, and SQL for data analysis and model development.
• Expertise in time series forecasting models including ARIMA, Prophet, and LSTMs.
• Strong experience in data engineering, working on data pipelines, ETL, and data transformation projects.
• Hands-on experience with Google Cloud (BigQuery, Vertex AI, Cloud Functions).
• Experience with Palantir Foundry for data processing and visualization.
• Familiarity with AutoAI and Google Colab.

Skills

• Python
• PySpark
• SQL
• Google Cloud
• Machine Learning