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Deloitte

Senior Data Scientist - Analytics and Insights Engineer III

Deloitte
Washington, DC $113k - $188k/yr Full time Posted 8d ago
Analytics Artificial Intelligence AWS Cloud Data Analysis Data Analytics Data Integration Data Lakes Data Pipeline Data Pipelines Data Platform Data Processing Data Science Data Transforms Data Visualization ETL Power BI Reporting and Analytics SQL
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Job Description

In Deloitte’s AI & Engineering team, this role supports client investigative and predictive analytics by integrating large-scale data, building AI/ML solutions, and creating automated workflows that are reproducible and auditable. The position also includes reviewing modeling and statistical evaluations and training client personnel on dashboards and AI-assisted processes.

Key Responsibilities

  • Integrate large-scale client data and perform statistical analyses that support investigative, litigation, and claims-management requirements.
  • Design and implement AI/ML solutions, including supervised and unsupervised models, for anomaly detection, predictive analytics, and investigative insights using healthcare, financial, and mass tort data.
  • Handle large or unstructured datasets in Amazon Web Services (AWS) GovCloud using data lakes, serverless computing, AWS Lambda, and extract, transform, and load (ETL) practices.
  • Create automated, reproducible, and auditable workflows spanning data collection, processing, statistical analysis, and reporting; identify automation opportunities to improve efficiency and accuracy.
  • Train client personnel on dashboards, analytical tools, and AI-assisted workflows; provide reference materials and ongoing support to support responsible AI use.
  • Independently review statistical estimates and machine-learning evaluations prepared by team members, including population selection, assumptions, calculation logic, and interpretation.

Required Qualifications

  • Bachelor’s degree.
  • Ability to obtain and maintain the required clearance for this role.
  • 5+ years of professional experience applying data science, statistics, or mathematics using Python, R, or another analytical or statistical programming language.
  • 4+ years of experience developing and training custom AI/ML models using supervised and unsupervised learning, including natural language processing (NLP) for unstructured data.
  • 2+ years of experience manipulating unstructured data from multiple platforms and using Tableau, Power BI, Qlik, or Elastic X-Pack for data visualization, along with Structured Query Language (SQL) for database administration or SQL programming.
  • Ability to travel 10–15%, on average, based on work, clients, and sectors served.
  • Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Technologies and Tools

  • Python, R
  • Amazon Web Services (AWS) GovCloud, data lakes, serverless computing, AWS Lambda
  • Extract, transform, and load (ETL)
  • Tableau, Power BI, Qlik, Elastic X-Pack
  • Structured Query Language (SQL)
  • Natural language processing (NLP), AI/ML
  • Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake
  • Cloud-based data pipelines
  • Section 508, Web Content Accessibility Guidelines (WCAG)
  • dbt, Apache Airflow, Dagster

Preferred Qualifications

  • Experience with AWS big data and analytics services, including Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake, and cloud-based data pipelines.
  • Experience applying Section 508 or Web Content Accessibility Guidelines (WCAG) standards to dashboards and data visualizations.
  • Experience using dbt, Apache Airflow, or Dagster for data transformation and pipeline orchestration.
  • Experience applying AI/ML methods in litigation-support or other legally sensitive environments.
  • Experience building data visualizations and presenting quantitative concepts to nontechnical audiences.
  • Experience independently reviewing statistical or machine-learning analyses, including assumptions, methodology, and interpretation.

Additional Skills

  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines and provide clear guidance to others.

Location and Compensation

Location: Washington, DC (onsite). Compensation: USD 113,000–188,400 per year.

Experience Level

Minimum Experience: 5 years.

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