Job Description

The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital you’ll create it, own it, and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise, and insight clients depend on. Accenture Digital is powered by three practices –Mobility, Interactive, and Analytics. As part of our Analytics practice, you’ll deliver analytically-informed, issue-based solutions that help clients make faster, smarter decisions. You’ll play a critical role in helping them tackle complex business issues.

JOB DESCRIPTION

Your client’s eyes probably glaze over when you discuss in detail logistic regression, cluster analysis, neural nets and other segmentation models, but they certainly appreciate your uncanny ability to utilize those to lower their marketing costs and improve marketing effectiveness. Or perhaps they rely on you to provide analytics that stimulate sales, strengthen customer loyalty and generate purchases. If you’ve earned a reputation for your analytics expertise, Accenture may be the perfect place to take the next step in your career journey. YOUR ROLE: Data Scientist There will never be a typical day at Accenture Analytics, but that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing digital landscape. Here are just a few of your day-to-day responsibilities. Design, develop and deploy state-of-the-art, data-driven predictive/descriptive models to solve business problems using the latest and most appropriate technologies in statistical modeling and machine learning. Create new insights from predictive statistical modeling activities that target and deliver value to our clients. Manage, architect and analyze big data in order to build data driven business insights and high impact data models to generate significant business value. Create models and processes to collect, distill and interpret data with a view to aid better, more informed decision making. Examine and explore data from multiple disparate sources with the goal of discovering insights which in turn can provide competitive advantage for our clients. Company: Accenture Qualifications: YOUR EXPERIENCE: Strong background in statistical concepts and calculations 10 years of experience with real data Innovative and strong analytical and algorithmic problem solvers 7 years of experience with open source machine learning tools: Python/scikit-learn or Revo R. 7 years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation 7 years of Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis. Bachelor’s Degree in a relevant field like statistics, computer science or applied math, physics or relevant subjects or 4+ years of experience in computer science, applied mathematics, or other quantitative/computational discipline Strong background in statistical concepts and calculations SET YOURSELF APART: Preferred Skills Experience with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading). Familiarity with Amazon Web Services and Elastic MapReduce a plus. Familiarity with Hadoop based commercial packages (e.g. Cloudera, Hortonworks) Experience in text mining/NLP Master’s or PhD in a relevant field like statistics, computer science or applied maths, physics or relevant subjects Expert in Deep Learning Published papers in Machine Learning or Deep Learning Educational level: Bachelor’s Degree Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Bachelor’s Degree , Data Mining , Industry , United States #J-18808-Ljbffr NLP PEOPLE

Job Tags

Similar Jobs