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AI/Machine Learning Engineer Manager

Job Location: CA - San Francisco, CA - San Jose, IL - Chicago, TX - Dallas, TX - Houston, WA - Seattle

Regional Description: West

Job Number: 00588560

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- Job description

Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.

 

You’ll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.

Job Description:

 

The Data Scientist Manager will be part of Accenture Analytics as a Data Scientist with the Industry Data Science Centre of Excellence. They will be working with the team that identifies and develops advanced analytics statistical models, machine learning methods and solutions for Accenture clients to improve various business outcome indicators. 

 

Key Responsibilities:

  • Lead data science projects independently while collaborating with team members and multi-organizational stakeholders.
  • Perform hands-on advanced analysis in marketing science and business analytics on big data to promote growth and business development
  • Leverage state-of-the-art data processing tools and/or analytical methodologies to drive improved decisions
  • Support the team in development and/or implement various types of predictive models, natural language processing, segmentation strategies, optimization algorithms, and data mining analyses with a targeted result of increasing revenue

Basic Qualifications:

  • 2 years hands on experience with one of the following: Python, Algorithms, Hadoop, Machine Learning, H Deep Learning
  • 2 years hands on experience with statistical analysis expertise
  • 5 years of data modeling, including reverse and forward engineering
  • 5 years of distributed a computing and data architectures
  • Ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information
  • 5 years of defining and visualizing data relationships from raw, unstructured data
  • 2 years of statistical and predictive modeling concepts and disciplines

Preferred Qualifications:

  • Advance degree (MS or PhD.) in one of the following fields: Computer Science, Math, Engineering
  • Experience in processing and performing multi-faceted analysis with customer/consumer behavior data
  • Design and consumption of APIs and RESTful service design
  • Experience in developing or enhancing models applying machine learning and artificial intelligence algorithms, statistical analysis, and natural language processing
  • Strong coding skills in SQL; and Python, R, Julia, or Scala.
  • Knowledge of industry-leading practices
  • Experience working with distributed computing i.e. Hive, Apache Spark
  • Experience working in an Unix/Linux environment
  • Knowledge of descriptive analytics and data visualization
  • Experience with full lifecycle agile application development in supporting analytic requirement
  • Ability to manage multiple projects and on-demand business requests simultaneously

 

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

 Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. 

 Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity:

 All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job Candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

 Accenture is committed to providing veteran employment opportunities to our service men and women.


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