Data Science Manager

EY (Ernst & Young)
McLean - United States
S: Based on Experience

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 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. This role will require both the technical acumen to select and estimate appropriate models and the ability to effectively communicate results and findings to senior business leaders. As this involves creating new capabilities and solutions to bring data enablement to business processes, there will be a need to continually identify opportunities to apply data analytics to inform and enhance business performance within EY, as well as that of our clients.

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 be driven to take on challenges, have passionate curiosity, and provide creative solutions on a wide range of business issues/topics. The candidate will need to demonstrate strong collaboration and leadership skills, the capability to effectively communicate with key executives, and the ability to adapt to ambiguous and changing challenges. The skills and attributes key to this role include:

•Curiosity and active learner
•Demonstrated ability to deal with ambiguity and move from concept to solution
•Critical thinker – practical application of advanced concepts to enhance business performance
•A passion for econometric and machine learning forecasting
•Ability to build data pipelines that transform multiple datasets with real-world messiness to organized information that is fit for statistical analysis
•Ability to connect diverse data sets to their business impacts
•The ability to inspire confidence in senior business leaders by simplifying complex concepts and analysis

Minimum Requirements:

•PhD in Economics, Finance, Statistics, or Computer Science
•Experience in time-series econometrics for both big and small data
•Experience in machine learning modelling and interpretation
•5+ years of post-graduate experience
•Familiarity with one or more common tools used for data cleaning, analysis, and visualization: R, Python, Stata, or SAS.

Ideal Additional Experience:

•Two or more years of experience in consulting, business, or government
•Familiarity with SQL and common database tools
•Experience managing and mentoring more junior colleagues

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.

Job summary