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CSC

Senior Data Scientist

CSC

Senior Data Scientist advancing analytics and AI for CSC, a global business, legal, and financial services company. Building predictive models, data pipelines, and BI solutions in a hybrid Wilmington role.

Posted 8/11/2026full-timeWilmington • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing advanced analytics and machine learning models, optimizing data pipelines, and implementing data integration solutions. Proficient in SQL performance tuning and data visualization, with a strong focus on delivering scalable analytics and data-driven decision-making solutions.

Highest-signal resume keywords
Machine Learning Model DevelopmentSQL Performance TuningData Pipeline OptimizationData Visualization ConceptsExperience with R and Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringBusiness Intelligence DevelopmentPredictive AnalyticsData ModelingETL/ELT TechnologiesData Quality FrameworksStatistical ModelingData Transformation LogicMetadata ManagementData Analysis
Soft Skills
Problem-SolvingAnalytical ThinkingCommunicationInterpersonal SkillsDetail-Oriented
Tools & Technologies
OracleMicrosoft SQLDatabricksSnowflakeMicrosoft FabricAzureAWSAlteryx
Industry Keywords
DataOpsAgileScrumBusiness IntelligenceData-Driven Decision-Making

Tech Stack

Tools & technologies
AWSAzureCloudETLOraclePythonSQL

About the role

Key responsibilities & impact
  • Develop advanced analytics and machine learning models
  • Maintain efficient data pipelines, reporting systems, and DataOps practices for CI/CD of pipelines and BI infrastructure
  • Collaborate with analysts, business partners, and stakeholders to deliver scalable analytics, reporting, and data-driven decision-making solutions
  • Implement data integration solutions for various data sources
  • Develop data quality, reconciliation, and error-handling frameworks
  • Optimize SQL and data transformation logic for performance and scalability
  • Document data flows, transformations, and dependencies
  • Drive coding and testing best practices and improve processes and system reliability
  • Deliver clean, structured datasets for visualization
  • Build predictive and statistical models for forecasting, segmentation, and optimization
  • Implement machine learning and AI into Business Intelligence processes
  • Validate, test, and refine models for accuracy and business relevance
  • Analyze large, complex datasets to identify trends, patterns, and business opportunities
  • Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions
  • Apply metadata management and data logs knowledge

Requirements

What you’ll need
  • Bachelor's degree
  • 5+ years of work experience in data engineering, BI development, or analytics engineering
  • Experience supporting enterprise BI platforms and predictive analytics
  • Experience with Oracle and Microsoft SQL database technologies
  • Extensive experience with R, Python, and data modeling concepts
  • Understanding of data pipeline and ETL/ELT technologies
  • Understanding of Databricks, Snowflake, and Microsoft Fabric
  • Proven experience in SQL performance tuning and recommending improvements for automation and maintainability
  • Excellent understanding of data visualization concepts for dashboards and reports
  • Experience working in Agile/Scrum environments, including sprint planning, standups, reviews, and retrospectives
  • Ability to work independently and collaboratively
  • Strong problem-solving and analytical thinking skills
  • Ability to learn new technologies and prioritize tasks in a high-pressure environment
  • Excellent communication and interpersonal skills
  • Detail-oriented focus on quality and accuracy
  • Preferred: experience with Azure or AWS cloud platforms
  • Preferred: experience with Alteryx

Benefits

Comp & perks
  • Annual success-sharing bonuses or commission plans based on individual performance
  • Excellent benefits
  • Hybrid work schedule as business needs allow and in alignment with local regulations
  • Annual leave
  • Tuition reimbursement
  • Referral bonuses
  • Support and resources for colleagues with disabilities
  • Diverse and growth-oriented environment
  • Global career opportunities