Computer Enterprises, Inc.

Computer Enterprises, Inc.

Senior Data Scientist (Python/R, ML, MLOps)

Richmond, Virginia, USA · Senior · Contract

Sponsorship not specifiedDetected 64 days ago
PythonSnowflakeDatabricksAWSGCPAzureCloud PlatformsCI/CDMachine LearningData EngineeringData ScienceData VisualizationNLPMLOpsForecastingTest AutomationCommunicationSCADA

About the role

  • Apply advanced techniques such as time series forecasting, survival analysis, optimization, clustering, NLP, and anomaly detection to utility scale data.
  • Mentor junior data scientists and analysts, contributing to analytics standards, code quality, and best practices.

Responsibilities

  • Partner with business units such as Generation, Transmission & Distribution, Grid Operations, Asset Management, Customer Operations, and Finance to identify high value data science use cases.
  • Develop end to end data science solutions, from data acquisition and feature engineering to model deployment and post production monitoring.
  • Support implementation of MLOps best practices to ensure scalable, reliable, and auditable analytics solutions in compliance with enterprise and regulatory standards.
  • Collaborate closely with data engineers, platform teams, and cloud architects to ensure models are production ready and performant.
  • Build reusable analytical frameworks and accelerators that improve time to value across the Enterprise Analytics portfolio.
  • Create intuitive visualizations, dashboards, and self-service analytics tools that empower stakeholders to explore insights independently.
  • Support a commitment to safety, reliability, affordability, and clean energy transformation through responsible and ethical use of data and AI.
  • Ability to create clear, interpretable visualizations that tell a compelling story, support decision making, and align with executive level messaging.

Requirements

  • MUST have prior hands on experience as a Data Scientist on a project using Python or R.
  • Proven ability to translate complex analytical findings into clear, actionable insights for business leaders, engineers, operations teams, and executives.
  • Working knowledge of MLOps practices including model development lifecycle management, automated testing, CI/CD pipelines, version control, and deployment (e.g., MLflow, Dataiku, Azure ML, or similar tools).
  • Strong understanding of model monitoring, including performance tracking, explainability, bias detection, model drift, and reproducibility in production environments.
  • Working knowledge of data engineering concepts, including data ingestion, transformation, feature engineering, and data quality controls.
  • Bachelors or higher required
  • Required Skills MUST have prior hands on experience as a Data Scientist on a project using Python or R.

Nice to have

  • Computer Science, Information Systems, Mathematics Preferred Skills Understanding and/or Experience with data engineering is a plus.
  • Experience with cloud technologies (AWS, Azure, Google Cloud Platform, Snowflake) is big plus.
  • Why Should I Apply?
  • Join a team committed to innovation, safety, and sustainability.
  • Bachelors or higher required Discipline: Computer Science, Information Systems, Mathematics Preferred Skills Understanding and/or Experience with data engineering is a plus.
  • Experience with cloud and modern analytics platforms (AWS, Azure, Google Cloud Platform, Snowflake, Databricks, or similar) is a strong plus.
  • Understanding of governance, security, and regulatory requirements for enterprise and utility data environments is preferred.

Company info

  • About CEI: As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results.
  • From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers.
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