Data Science Practitioner 6527496

About the Role

As a Data Scientist at Accenture, you will apply innovative statistical and machine learning methods to analyze complex enterprise data. You will provide analytic thought leadership to drive data-grounded perspectives for clients, improve core capabilities, and enhance customer experiences.

Key Responsibilities

• Apply scientific methods to solve real-world business problems using data.
• Utilize cutting-edge statistical and machine learning methods for data-driven solutions across business areas (e.g., inventory optimization, supply chain, marketing, healthcare, cybersecurity).
• Employ broad and deep knowledge of statistics, analytics, and machine learning to enhance core data science capabilities.
• Mine large structured and unstructured data to glean actionable insights and recommend solutions for business problems.
• Collaborate with other teams to implement and deploy scalable solutions.

Qualifications

• High School Diploma or GED.
• Minimum of 2 years of experience in data science, data analysis, data mining, or similar business functions.
• Minimum of 2 years of experience in at least one focus area of data science: statistics, operations research, design and analysis of experiments, machine learning, or quantitative analysis.
• Minimum of 2 years of experience in data mining skills with ability to leverage distributed processing for big data.
• Minimum of 2 years of experience with at least one data science analytics programming language like Python, R, or Scala.

Preferred Qualifications

• Master's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Economics, Operations Research).
• Experience using high performance machine learning data mining frameworks on cloud platforms (GCP, Azure, AWS).
• Experience building distributed data processing pipelines (Apache Spark or Apache Beam).
• Ability to effectively communicate technical information to cross-functional team members.