Data Science Senior Manager

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.

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. 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.

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.

Your Experience:

• 10 years of experience with real data
• 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

Set Yourself Apart:

• 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
• Strong background in statistical concepts and calculations
• Innovative and strong analytical and algorithmic problem solvers