6 of 6 Statistical Inference Jobs

Gather data from various analytical databases and sources, and implement advanced statistical methodologies to optimize American Airlines operations; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Conduct exploratory analyses including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive); Partner with business and technical stakeholders to translate challenging retail … or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data More ❯

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 ❯

our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Advanced expertise in mathematical modelling, statistical inference, and agent-based modelling. Proven ability to lead teams in designing and implementing complex data models and analytics solutions. Mastery of general-purpose programming languages (Python, C# More ❯

high performance languages Experience in constructing and managing alerting and monitoring systems for data processing pipelines Exceptional abilities in systems level debugging Familiarity with advanced analytics encompassing machine learning, statistical inference, and AI. Curiosity and empathy Comfortable with tackling ambiguous problems and unblocking yourself Bonus Points Knowledge and experience with columnar database like Clickhouse. Experience productionalizing ML models 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 ❯