8 of 8 Statistical Inference Jobs

analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

lifecycle—from framing the problem and exploring the data through to modelling, experimentation, communication and measuring impact. The role suits someone who pairs strong statistical and modelling rigour with genuine curiosity about the problem and the storytelling skill to make a result land with the people … it. Key Responsibilities Frame business questions as tractable data science and experimentation problems Conduct exploratory analysis, statistical modelling and hypothesis testing Build predictive and inferential models that drive real decisions Design and analyse experiments—A/B testing and causal inference Apply machine learning where ...