3 of 3 Statistical Inference Jobs

science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Demonstrate excellent verbal More ❯

means (e.g., API calls, Web scraping, file pulls) to enhance internal data and create new dimensionality to analysis Created new, insightful data derivatives from existing raw data through aggregation, statistical inference (e.g., latent variables), and/or prediction scores (e.g., propensity, LTV) Assisted digital product teams with deep feature launch analysis to uncover tactical opportunities for iterative improvement … to develop and deploy data observability automation for data products ensuring a high degree of confidence covering batched and real-time streaming data. You can leverage basic to deep statistical skills to both aggregate and enrich datasets by developing business aligned and impactful metrics, measures, and predictive features. You are adept in building and deploying data pipelines using industry … years hands on experience working in a modern cloud environment (AWS, GCP, Azure) leveraging modern data structures and services (file storage, RDMS, streaming services, ELT, etc.) 5+ years leveraging statistical or algorithmic modeling methods to answer questions and solve measurement and prediction problems. Experience working with modern datalake architectures and related services such as Databricks and/or Snowflake More ❯

results, and refine model performance. Requirements Advanced degree or strong professional background in Economics, Econometrics, Finance, or a related quantitative field. Deep understanding of macroeconomic theory, microeconomic modelling, and statistical inference. Proficiency with economic modeling tools and data analysis software (e.g., Python, R, Stata, or MATLAB). Experience with simulation modeling, forecasting, or policy evaluation is highly valued. Excellent More ❯