AddressEY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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.
*What we look for *
We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The salary range for this job in most geographic locations in the US is $70,600 to $116,400. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $84,800 to $132,300. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com
