Senior Data Scientist – Enterprise Analytics & ML

Accenture PLC; Atlanta (GA); On-site; USD 97,000 - 111,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Paid Time Off

Job summary

Accenture Flex is seeking a Data Scientist to apply advanced statistics and machine learning to large and complex data sets across the enterprise. You will help drive business transformation by delivering data-driven insights and scalable solutions at client sites.

The role is 100% onsite at the client location in Minneapolis, MN, requiring strong communication across cross-functional teams and the ability to translate technical concepts for varied audiences.

Qualifications

• 5+ years of experience in data science, data analysis, data mining, or related business functions.
• 5+ years in at least one data science focus area: statistics, operations research, DOE, ML, or quantitative analysis.
• 5+ years of data mining with distributed processing to scale to big data.
• 5+ years of experience with Python, R, or Scala for analytics.
• High School Diploma or GED.

Responsibilities

• Apply scientific methods to solve real-world business problems using data.
• Utilize advanced statistical and ML methods to derive data-driven solutions across business areas.
• Leverage broad statistics analytics and ML knowledge to contribute to core data science capabilities.
• Mine large structured and unstructured data to derive actionable insights and recommendations.
• Collaborate with teams to implement and deploy scalable data science solutions.

Skills

Data science

Statistics

Machine learning

Big data

Python

R

Scala

Diploma

Education

Bachelor's degree

Masters degree

Tools

Cloud platforms (GCP, AWS, Azure)

Job description

Accenture Flex is seeking a Data Scientist to apply advanced statistics and machine learning to large and complex data sets across the enterprise. You will help drive business transformation by delivering data-driven insights and scalable solutions at client sites.

The role is 100% onsite at the client location in Minneapolis, MN, requiring strong communication across cross-functional teams and the ability to translate technical concepts for varied audiences.