Full Job Description
Join our Americas Data Enablement team and be a part of a high-energy, fast-paced, and innovative group. In an environment where collaboration and openness are valued you will help develop and support the important data analytics capabilities that will deepen our understanding of the drivers of our business performance and inform our business decisions. Our data enablement initiatives span all our businesses and stakeholders. You will have the opportunity to deliver breakthrough analytical solutions and work with those businesses and functional areas, including but not limited to Finance, Information Technology, Human Resources, Brand Marketing and Communications, Knowledge 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 leaders who team to deliver on our promises 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.
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.
As a data scientist you will work with a team of data scientists to build econometric and machine learning models to identify causation and create predictability in key areas, such as revenue forecasting, employee attrition and experience, and understanding our clients, 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, produce insightful analytics, communicate findings and share technical subject matter clearly and concisely with senior 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 (particularly time-series forecasting), 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, and provide creative solutions on a wide range of business issues/topics, and be able to adapt to ambiguous and changing challenges. The skills and attributes key to this role include:
Experience using econometric and machine learning tools for forecasting
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 to dive deep on technical challenges and work through ambiguity 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
Master’s degree in Economics, Finance, Statistics, Computer Science or related quantitative field
Experience manipulating, transforming, and analyzing complex data
Experience in time-series econometrics for both big and small data
Experience in machine learning modelling and interpretation
Strong communication skills including the ability to communicate across multiple levels in the organization
At least one year of post-graduate experience
Familiarity with one or more programming languages used for data cleaning, analysis, and visualization: R, Python, Stata, SAS, Julia.
Ideal Additional Experience
PhD in Economics, Finance, Statistics, Computer Science or related quantitative field
Two or more years of experience in consulting, business, or government
Familiarity with SQL and common relational database tools
Familiarity with one or more common visualization tools: Tableau, Power Bi.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.