Senior Data Scientist

accenturefederalservices; United States; Remote; USD 117,000 - 243,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Accenture Federal Services seeks a senior data scientist to analyze complex datasets using Databricks and related platforms, surfacing trends and actionable insights for a high-visibility federal online product. The role blends retail analytics with applied statistics, dashboards, and AI-driven solutions.

You will analyze data, validate hypotheses on retention and churn, and develop analytics and visualizations to support decision-making across partner teams.

Qualifications

• 8+ years of data analytics experience delivering measurable outcomes.
• Strong Python development experience.
• Hands-on experience with Databricks or comparable data platforms.
• Background in consumer research and retail analytics.

Responsibilities

• Analyze complex datasets to identify trends, patterns, anomalies, and relationships.
• Apply statistical tests and models to validate hypotheses around customer retention and churn.
• Develop and maintain analytics, dashboards, and visualizations that support client decision-making.
• Integrate AI-driven capabilities into analytics projects and workflows.
• Clean, prepare, and explore big data sources to extract meaningful interpretations.

Skills

Python development

Databricks

Data analytics

Consumer research

Retail analytics

Statistical testing

Dashboarding

AI integration

Job description

Role overview

This senior data science role focuses on analyzing complex datasets using Databricks and similar platforms to surface trends, patterns, and actionable insights for a high-visibility federal online product. The position blends retail and consumer analytics with applied statistics, dashboarding, and AI-driven solutions.

Responsibilities

• Analyze complex datasets to identify trends, patterns, anomalies, and relationships
• Apply statistical tests and models to validate hypotheses around customer retention and churn
• Develop and maintain analytics, dashboards, and visualizations that support client decision-making
• Integrate AI-driven capabilities into analytics projects and workflows
• Clean, prepare, and explore big data sources to extract meaningful interpretations

Requirements

• US citizen or dual citizen (Public Trust eligible)
• 8+ years of data analytics experience delivering measurable, quantifiable outcomes
• Strong Python development experience
• Hands‑on experience with Databricks or comparable data platforms
• Background in consumer research and retail analytics

Nice to have

• Experience integrating AI-driven solutions into analytics projects
• Demonstrated record of successful outcomes tied to clear metrics

Benefits and work setup

• Posted base pay range of $116,900–$243,100 USD, varying by location, role scope, and experience
• Comprehensive benefits package offered
• Applications accepted on an ongoing basis with no fixed deadline