Artificial Intelligence (AI) and Data Science - Staff - Tech Consulting - Location Open

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Artificial Intelligence and Data Scientist –?Staff - Technology Consulting?US

EY delivers exceptional services to our clients in the data and analytics domain. We are helping our clients solve their most critical business problems. Our service offerings help our clients apply advanced analytics techniques to drive competitive advantage, use advanced learning algorithms to solve complex business problems, realize the full potential of data through vast amount of disparate data sets available to them, generating insights by capturing data from machines and devise in near real-time.

The opportunity

You will help our clients navigate the complex world of modern data?science and?analytics.??We’ll look to you?to provide our clients with a unique business perspective on?how data science and?analytics can transform and improve their entire organization – starting with key business issues they face.? This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

Your key responsibilities

You’ll spend most of your time?working?with a wide variety of clients to deliver the latest?data science, data analytics,?and?big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyse data from multiple sources.???

Skills and attributes for success

• Applying?data mining and statistical analysis techniques like hypothesis testing, segmentation and?modelling?to?analyze?large amounts of data
• Helping?our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices
• Building?and applying?data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
• Designing, architecting?and developing?solutions leveraging big data technology (Open Source, Hortonworks, AWS or Microsoft) to ingest, process and?analyze?large, disparate data sets to?exceed?business requirements

• Unifying, enriching?and?analyzing?customer data to derive new insights and opportunities
• Leveraging?in-house data platforms as needed and recommending?and building?new data platforms/solutions as required to exceed business requirements
• Clearly communicating?findings, recommendations and opportunities to improve data systems and solutions
• Demonstrating?deep understanding of and ability to teach data science, concepts, tools, features, functions and benefits of different approaches to apply them
• Seeking?out information to learn about emerging methodologies and technologies
• Clarifying?problems by driving to understand the true issue
• Looking?for opportunities for improving methods and outcomes?
• Applying?data driven approach (KPIs) in tying technology solutions to specific business outcomes
• Collaborating, influencing?and building?consensus through constructive relationships and effective listening
• Solving?problems by incorporating data into decision making?

To qualify for the role you must have

• A bachelor's degree and approximately?one?year of related work experience; or a?related?master's?
• At least?one?year hands-on experience with?data science, data analytics, big data, and data engineering
• Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, etc.

• Deep understanding of statistical modeling as well as SQL, ETL, data ingestion/cleansing and engineering skills
• Thorough business understanding of data science application and ability to communicate with key decision-makers
• Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)
• Communication?is?essential, must be able to listen and understand the question and develop and deliver clear insights.
• Outstanding team player.
• Independent and able to manage and prioritize workload.
• Ability to quickly and positively adapt to change.
• A valid driver’s license in the US; willingness and ability to travel to meet client needs.

Ideally, you’ll also have

• Bachelor’s Degree?or above?in mathematics, information systems, statistics, computer science, or related disciplines?
• Experience with Azure Data Factory and?AzureML?a plus
• Ability to set up data and experimental platforms
• R or SAS, Python, Java/C# and Scala
• Machine learning using k-NN, naive?bayes, decision trees, SVM experience

• Experience using data mining and statistical tools
• Solid pattern recognition and predictive modelling skills?
• Recommendation engines, scoring systems, A/B testing
• Multiple tools/libraries such as Weka, NumPy,?PyMongo, R, etc.