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About the Role
Accenture Flex offers project-based work with the flexibility of local engagements powered by Accenture. As a Data Scientist, you will apply innovative statistical and machine learning methods to analyze complex enterprise data, answer critical business questions, and drive real-world value. You will provide analytic thought leadership to help clients think critically about their business, improve core capabilities, and enhance customer experiences.
Responsibilities
- Applying scientific methods to solve real-world business problems using data
- Utilizing cutting-edge statistical and machine learning methods to analyze complex data and deliver data-driven solutions across various business areas
- Employing broad and deep knowledge of statistics, analytics, and machine learning to enhance core data science capabilities
- Mining large structured and unstructured data to glean actionable insights and make recommendations
- Collaborating with other teams to implement and deploy scalable solutions
Requirements
- Minimum of 5 years of experience in data science, data analysis, data mining, or similar business functions
- Minimum of 5 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 5 years of experience in data mining skills with the ability to leverage distributed processing for big data
- Minimum of 5 years of experience with at least one data science analytics programming language like Python, R, or Scala
- High School Diploma or GED
Skills
- Data Science
- Data Analysis
- Data Mining
- Statistics
- Operations Research
- Design and Analysis of Experiments
- Machine Learning
- Quantitative Analysis
- Python
- R
- Scala
- High performance machine learning data mining frameworks on cloud platforms (GCP, Azure, AWS)
- Building distributed data processing pipelines (Apache Spark or Apache Beam)
- Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Location
- Minneapolis, MN
Work Type
- 100% ONSITE
- 5 days a week
Experience Level
- Minimum of 5 years of experience
Education Level
- High School Diploma or GED
- Masters degree in a highly quantitative field: Computer Science, Engineering, Physics, Math, Economics, Operations Research, etc. (Preferred)
Salary/Compensations
- $70.36 to $80.36 per hour (Minnesota)
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Long-term disability coverage
- 401(k) plan
- Paid time off
About the Company
- Accenture is a leading global professional services company that helps organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services, creating tangible value at speed and scale.
- We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
- We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise, and global delivery capability.
- Our broad range of services includes Strategy & Consulting, Technology, Operations, Industry X, and Song.
- We are committed to creating 360° value for our clients, employees, shareholders, partners, and communities.
Equal Opportunity
- Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.
- We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
- Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
- Accenture is committed to providing veteran employment opportunities to our service men and women.