EY Responsible AI - Staff Consultant Consulting Location OPEN 

United States, New York, New York 

989707082

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.

• 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.