Onsite Data Scientist - Enterprise ML & Analytics

Accenture PLC; Milwaukee (WI); On-site; USD 96,000 - 110,000; Full time

Job summary

Accenture Flex is hiring a Data Scientist for a 100% onsite role at the client location in Minneapolis, MN. The position emphasizes applying advanced statistics and machine learning to drive business value and inform decision-making across multiple functions.

The successful candidate will bring 5+ years in data science, experience with Python/R/Scala, and knowledge of distributed processing frameworks like Spark or Beam. Strong communication across cross-functional teams is essential.

Qualifications

• Minimum of 5 years of experience in data science or related fields.
• Experience in at least one data science focus area: stats, OR, DOE, ML, or quantitative analysis.
• Experience in data mining with distributed processing for Big Data.
• Proficiency in Python, R, or Scala for analytics.
• High School Diploma or GED required.

Responsibilities

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

Skills

Data science

Data analysis

Data mining

Python/R/Scala

Statistics

Education

High School Diploma or GED

Master's degree (quantitative field)

Tools

Apache Spark

Apache Beam

GCP

Azure

AWS

Job description

Accenture Flex is hiring a Data Scientist for a 100% onsite role at the client location in Minneapolis, MN. The position emphasizes applying advanced statistics and machine learning to drive business value and inform decision-making across multiple functions.

The successful candidate will bring 5+ years in data science, experience with Python/R/Scala, and knowledge of distributed processing frameworks like Spark or Beam. Strong communication across cross-functional teams is essential.