Causal Analytics Analyst
Curate Partners - boston, MA
Apply NowJob Description
The successful candidate must collaborate with the Data Science team to continually refine our data science process, improve our model management, and identify new opportunities that the Data Science team can work.ResponsibilitiesAnalyze and perform Exploratory Data Analysis (EDA) on raw datasets with the ability to develop visualizations to present key findings from EDA, communicating with stakeholders to ensure understanding of potential opportunities, forming testable hypotheses, and obtaining regular feedbackIdentify potential machine learning (ML) or Generative AI opportunities that drive business value and working them through our intake process to formally get placed on our backlogApply knowledge of statistics, machine learning, programming, and data modeling to recognize patterns, identify opportunities, test business hypotheses, and make valuable discoveries leading to operational savings or growthWrangle data to cleanse and prepare it for ML model development, including the engineering of features to improve model performanceApply causal discovery and causal inference techniques to understand the relationships between variables and identify potential causal effects and causal relationships in datasets at scaleManage and execute ML model life cycle management within our MLOps framework for all models developedCollaborate with cross-functional and cross-organizational teams to integrate causal models into business processes and decision-makingRequired QualificationsMasters' degree in a quantitative field such as engineering, computer science, mathematics, statistics, or data science. Significant equivalent work experience in causal inference may be considered as a substituteStrong understanding of and experience with causal discovery and causal inference methodsExperience in data science related programming languages, such as Python, R, C, C++, SQL etcExperience with Big Data platforms, such as Spark, would be advantageous. Databricks experience is a bonusProven ability to apply advanced analytics techniques to real-world problemsStrong written and verbal communication skillsAbility to be effective in a team environmentCuriosity and enthusiasm to learn new domainsExperience with managing ML models through an MLOps lifecycle, from experimentation through production deployment to model version updatesExperience with distributed cloud providers such as Microsoft Azure, AWS, or GCP
Created: 2024-09-30