Senior Data Scientist: Enterprise Analytics & ML

Accenture PLC; Irving (TX); On-site; USD 96,000 - 110,000; Full time

Job summary

Accenture Flex seeks a Data Scientist to apply innovative statistical and ML methods to large enterprise data, driving data-grounded insights and transformative thinking. You will help shape analytics strategy and deliver data-driven solutions across inventory, supply chain, marketing, healthcare, and cybersecurity.

The role emphasizes collaboration with diverse teams, deployment of scalable analytics, and leadership in analytic thought across client engagements at the Minneapolis client

Qualifications

• Minimum of 5 years of experience in data science or related roles.
• Expertise in statistics, operations research, experiments design, ML, or quantitative analysis.
• Experience in data mining with distributed processing for big data.
• Proficiency with Python, R, or Scala for analytics.
• Strong communication with cross-functional teams.

Responsibilities

• Apply scientific methods to solve real-world business problems using data.
• Utilize statistical and machine learning methods to deliver data-driven solutions across business areas.
• Contribute to core data science capabilities with deep analytics knowledge.
• Mine large structured and unstructured data to derive actionable insights.
• Collaborate with teams to deploy scalable solutions.

Skills

Python

R

Scala

Statistics

Education

Masters degree

Tools

Apache Spark

Apache Beam

GCP

Azure

AWS

Job description

Accenture Flex seeks a Data Scientist to apply innovative statistical and ML methods to large enterprise data, driving data-grounded insights and transformative thinking. You will help shape analytics strategy and deliver data-driven solutions across inventory, supply chain, marketing, healthcare, and cybersecurity.

The role emphasizes collaboration with diverse teams, deployment of scalable analytics, and leadership in analytic thought across client engagements at the Minneapolis client