Senior Data Scientist, Enterprise Analytics

Accenture PLC

Kirkland (WA)

On-site

USD 97,000 - 111,000

Full time

9 days ago

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Job summary

Accenture PLC is seeking a Data Scientist for an onsite role in Minneapolis. You will apply advanced statistical and machine learning methods to large data sets, delivering insights that shape business decisions across inventory, marketing, and security, among others.

The position emphasizes collaboration with cross-functional teams to implement scalable data solutions and to contribute to the firm’s analytics capabilities. A strong foundation in statistics and ML is required.

Qualifications

  • Minimum of 5 years of experience in data science, data analysis, data mining, or similar business functions.
  • Minimum of 5 years in at least one data science focus area: statistics, OR, DOE, ML, or quantitative analysis.
  • Minimum of 5 years in data mining with distributed processing for big data.
  • Experience with Python, R, or Scala for analytics.
  • High School Diploma or GED.

Responsibilities

  • Apply statistical and ML methods to solve real-world business problems.
  • Dig into complex data to deliver data-driven solutions across business areas.
  • Contribute to and enhance core data science capabilities.
  • Mine large structured and unstructured data to yield actionable insights.
  • Collaborate with teams to deploy scalable solutions.

Skills

Data science experience
Statistics / ML
Python / R / Scala
Big data processing

Education

High School Diploma or GED

Tools

Apache Spark
Apache Beam
Cloud platforms (GCP/AWS/Azure)

Job description

Accenture PLC is seeking a Data Scientist for an onsite role in Minneapolis. You will apply advanced statistical and machine learning methods to large data sets, delivering insights that shape business decisions across inventory, marketing, and security, among others.

The position emphasizes collaboration with cross-functional teams to implement scalable data solutions and to contribute to the firm’s analytics capabilities. A strong foundation in statistics and ML is required.

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