Senior Data Scientist – Operation Analyst

Tiger Analytics

. Extract decades of EMPRV data, including work orders, asset hierarchy, maintenance history, and materials data, likely from Oracle, into Delta tables .

Posted 9/25/2026full-timeSt. Louis • Missouri • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python and PySpark for data extraction and analytics, with a strong focus on building Databricks applications and performing advanced statistical modeling. Proficient in SQL and familiar with AWS, capable of collaborating with operations stakeholders to enhance data-driven decision-making.

Highest-signal resume keywords

Python ProgrammingPySpark ProgrammingSQL SkillsDatabricks Platform ExperienceStatistical Modeling

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionReliability AnalysisAnomaly DetectionTime-Series ForecastingClassification and RegressionNLP ExperienceMachine Learning ModelingDelta Live TablesStreamlit App DevelopmentBill-of-Materials Analysis

Soft Skills

CollaborationCommunicationStakeholder Engagement

Tools & Technologies

DatabricksDelta LakeAWSMLflowUnity Catalog

Industry Keywords

Healthcare Domain UnderstandingOperations AnalyticsEMPRV Data

Tech Stack

Tools & technologies

AWSOraclePySparkPythonSQLUnity

About the role

Key responsibilities & impact

Extract decades of EMPRV data, including work orders, asset hierarchy, maintenance history, and materials data, likely from Oracle, into Delta tables
Perform maintenance and work-order analytics, including backlog and aging, planned versus actual labor and cost, repeat work orders, crew productivity, and schedule adherence
Develop reliability and asset-health models covering failure patterns, time-to-failure, survival models, risk-based maintenance prioritization, and anomaly detection
Conduct materials and inventory analytics, including spare-parts demand forecasting, slow-moving or obsolete stock analysis, and bill-of-materials consumption analysis
Build a Databricks App as a self-service front end to replace legacy EMPRV queries and reports
Apply text analytics and LLMs to technician work-order notes to classify failure modes or cause codes
Drive advanced analytics initiatives focused on improving operations analytics accuracy
Collaborate directly with operations stakeholders to define data based on how EMPRV is used

Requirements

What you’ll need

Python and PySpark programming experience
Strong SQL skills
Experience with the Databricks platform, including Delta Lake, Unity Catalog, Workflows/Jobs, and SQL warehouses
Ideally, experience with Delta Live Tables or Lakeflow
Basic familiarity with AWS, including S3 and IAM
Ability to build Databricks Apps using Streamlit, Dash, or Gradio
Ability to connect apps to SQL warehouses or Unity Catalog tables
Experience handling service principals, permissions, and deployment
Statistical and machine learning modeling experience, preferably for operations
Experience with classification and regression
Experience with time-series forecasting
Experience with survival and reliability analysis
Experience with anomaly detection
NLP or LLM experience with unstructured text
MLflow experience for experiment tracking and model deployment
Comfort working directly with operations stakeholders
Ability to translate tribal knowledge about EMPRV usage into data definitions
Experience with healthcare domain understanding

Benefits

Comp & perks

Significant career development opportunities
Challenging entrepreneurial environment
High degree of individual responsibility
Equal employment opportunities