Data Scientist — Onsite Minneapolis, Client Transformation

Accenture PLC

Minneapolis (MN)

On-site

USD 97,000 - 111,000

Full time

3 days ago
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Job summary

Accenture is seeking a Data Scientist for an onsite role at the Minneapolis client location. You will apply advanced statistical and machine learning methods to analyze large datasets and deliver data-driven insights that influence business decisions.

The role emphasizes collaboration across teams, practical analytics, and turning complex data into scalable solutions to improve operations, supply chain, marketing, and customer experiences.

Qualifications

  • Minimum 5 years of experience in data science, data analysis, data mining, or similar functions.
  • Experience in at least one data science focus area: statistics, operations research, DoE, ML, or quantitative analysis.
  • Experience with data mining and distributed processing for big data.
  • Proficiency in Python, R, or Scala for analytics.
  • High School Diploma or GED is required.

Responsibilities

  • Apply scientific methods to solve real-world business problems using data.
  • Use statistical and ML methods to analyze complex data and deliver data-driven solutions.
  • Contribute to and enhance Accenture's data science capabilities across the business.
  • Mine large structured and unstructured data to derive actionable insights and recommendations.
  • Collaborate with other teams to implement and deploy scalable solutions.

Skills

Python
R
Scala
Statistics
Machine Learning
Big Data

Education

High School Diploma
Masters preferred

Tools

GCP
AWS
Azure

Job description

Accenture is seeking a Data Scientist for an onsite role at the Minneapolis client location. You will apply advanced statistical and machine learning methods to analyze large datasets and deliver data-driven insights that influence business decisions.

The role emphasizes collaboration across teams, practical analytics, and turning complex data into scalable solutions to improve operations, supply chain, marketing, and customer experiences.

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