Senior Data Science Lead — Consumer Markets

PwC

Dallas (TX)

On-site

USD 91,000 - 322,000

Full time

2 days ago
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Job summary

PwC in Dallas seeks a Data Scientist Sr. Manager to lead data science work turning complex consumer market data into clear business insights and practical actions for clients. You will guide teams, advise stakeholders, and shape analytics solutions with strong storytelling.

The role emphasizes developing data models, predictive methods, and dashboards using Python, AI, and advanced analytics to support reporting, forecasting, and strategic decisions.

Qualifications

  • High school diploma or equivalent required.
  • Demonstrated data science experience in consumer markets.
  • Strong storytelling and ability to translate data into business insights.

Responsibilities

  • Lead data science and BI initiatives that translate consumer market data into actionable insights.
  • Design predictive models, analytics frameworks, and data-driven stories to support decisions.
  • Apply Python, AI fluency, and advanced analytics to scale reporting, forecasting, and segmentation.
  • Guide teams through ambiguity by framing questions, testing hypotheses, and summarizing findings.
  • Build dashboards and reporting solutions to track performance and market opportunities.
  • Validate data quality, refine pipelines, and improve data architecture for reliable analysis.
  • Coach team members and coordinate work plans across multiple initiatives.
  • Collaborate with leaders to assess market dynamics and develop analytic approaches.

Skills

Python
AI fluency
Advanced analytics
Data storytelling

Education

High School Diploma or equivalent

Job description

PwC in Dallas seeks a Data Scientist Sr. Manager to lead data science work turning complex consumer market data into clear business insights and practical actions for clients. You will guide teams, advise stakeholders, and shape analytics solutions with strong storytelling.

The role emphasizes developing data models, predictive methods, and dashboards using Python, AI, and advanced analytics to support reporting, forecasting, and strategic decisions.

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