Data Scientist - Location: McLean or Washington DC

Job description

Join our Americas Data Enablement team andbe a part of a high-energy, fast-paced, and innovative group. In an environment where collaboration and openness are valuedyou will help develop and support the important data analytics capabilities that will deepen our understanding of the drivers of our business performance, provide key insights across all aspects of our business, and inform business decisions. Our data enablement initiatives span all our businesses and stakeholders.  You will have the opportunity todeliver breakthrough analytical solutions andwork with all businesses and functional areas, including Finance, Information Technology, Talent, Marketing, and Risk Management.

 You will have the opportunity to develop your career through a broad scope of experiences and projects, active mentoring and continuous learning. That’s how we develop outstanding team members who collaborate to deliver business solutions to all our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

Job Summary:

EY is a leading global professional services firm that is using data-driven solutions and capabilities to transform our own business and the businesses of our clients.  Join an organization where you can use your most advanced skills every day and enjoy the satisfaction of developing impactful solutions to the most challenging business issues and opportunities. Work closely with executives responsible for creating and driving data driven solutions within EY and our clients. 

Key Responsibilities

As a data scientist you will work with a growing team of data scientists to build econometric and machine learning models to predict business performance and provide impactful business insights in key areas, such as financial forecasting, scenario planning, employee attrition and productivity, and client account performance drivers,which will provide key inputs to critical businesses processes.  Under the guidance of senior team members, you will participate in the design, development, and implementation of statistical models. You will build reports, create insightful analytics, and communicate findings to business leaders. You will develop and maintain programming for data pipeline, perform data exploration, work on model testing, improve model performance, and achieve model optimization. Along with team members, you will periodically review statistical forecasts, evaluate model performance, and address statistical modelling issues.

Skills and Attributes for Success

We are looking for candidates who are highly motivated, analytical thinkers with a passion for analytics and attention to detail. The ideal candidate will have strong knowledge of statistical methods, and experience applying data analysis techniques to manipulate and analyze complex data from various sources. The candidate will be driven to take on challenges, have passionate curiosity, provide creative solutions on a wide range of business issues/topics, and embrace ambiguous and changing challenges.  The skills and attributes key to this role include:

·  Experience using econometric and machine learning tools for classification
·  Familiarity with open source data analysis and modelling tools (R/Python)
·  Ability to build data pipelines that transform multiple datasets with real-world messiness to organized information that is fit for statistical analysis
·  A passion for continuous learning
·  An aptitude todive deep on technical challenges and work throughambiguity to move from concept to solution
·  Critical thinker – practical application of advanced concepts to enhance business performance
·  The ability to inspire confidence in senior business leaders by simplifying complex concepts and analysis
·  Passion for data, analytics, modeling and cutting-edge algorithms

Minimum Requirements

·  Bachelor’s degree in Economics, Statistics, Computer Science, Information Technology, Computer Engineering or related quantitative field
·  Experience manipulating, transforming, and analysing complex data
·  Experience in machine learning modelling (scikit-learn, H2o, keras, tensorflow, ggplot, pandas, etc) and interpretation
·  Functional knowledge of Azure/AWS or any cloud platform
·  Proficient with SQL and common relational database tools
·  Strong communication skills including the ability to communicate across multiple levels in the organization
·  Familiarity with one or more programming languages used for data cleaning, analysis, and visualization: R, Python, Stata, Julia.

Ideal Additional Experience

·  Master’s degree in Data Science, Economics, Finance, Statistics, Computer Science or related quantitative field
·  At least one year of post-graduate experiencein consulting, business, or government

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.