Compunnel Inc.
Senior Data Scientist
Chicago, Illinois, USA · Senior · Contract
Sponsorship not specifiedDetected 41 days ago
PythonSQLAWSGCPAzureCloud PlatformsCI/CDDevOpsMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkData EngineeringData ScienceNLPLLMsMLOpsStatisticsResearchCommunicationCollaboration
About the role
- The ideal candidate will have expertise in machine learning, operations research, predictive analytics, and large-scale data processing within cloud-based environments.
Responsibilities
- Develop advanced feature engineering techniques utilizing claims, incident, and operational datasets.
- Design and implement record-linkage methodologies to connect related incidents and claims when unique identifiers are unavailable.
- Develop predictive models that identify incidents likely to become claims or require intervention.
- Build and validate claim severity models to estimate financial impact and identify high-risk claims.
- Collaborate with Risk Management, Legal, Data Engineering, Business Intelligence, Data Governance, and MLOps teams to deliver business solutions.
- Document model assumptions, feature engineering approaches, validation results, and limitations.
Requirements
- Masters degree in Computer Science, Statistics, Industrial Engineering, Data Science, or a related field.
- 2+ years of relevant experience may be considered for candidates with a PhD.
- Experience with insurance claims analytics, risk analysis, and fraud detection.
- Expertise in operations research methodologies, including Linear Programming (LP), Integer Programming (IP), and Mixed Integer Programming (MIP).
- Experience using optimization tools such as CPLEX, Gurobi, or similar platforms.
- Strong experience with feature engineering, model evaluation, model validation, and hyperparameter tuning.
- Advanced proficiency in Python, SQL, and Spark.
- Experience working with large-scale datasets and distributed data processing technologies.
- Experience with streaming data architectures and real-time data processing.
- Experience working in Agile development environments.
Nice to have
- Experience supporting hospitality, travel, service industry, or customer operations analytics initiatives.
- Strong understanding of data architecture principles and MLOps best practices.
- Proven ability to translate complex analytical findings into measurable business outcomes.
- Experience with model governance, monitoring, explainability, and lifecycle management.
- Experience working with cross-functional business and technical teams in enterprise environments.
- Translate business requirements into scalable data science solutions focused on risk analysis, claims prioritization, fraud detection, and claim severity prediction.
- Profile, cleanse, and prepare structured and unstructured data for modeling, analytics, and scoring activities.
- Apply NLP and text analytics techniques to extract insights from claim and incident narratives.
Benefits
- Develop machine learning solutions using supervised, unsupervised, and deep learning techniques.
- Support deployment and operationalization of machine learning solutions in cloud environments.
Apply directly at Compunnel Inc. →Create a free account for alerts like thisView Compunnel Inc. immigration profile
This listing is sourced directly from Compunnel Inc.'s careers page and normalized into a canonical job model.