Data Scientist/Data Engineer - 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

The ideal candidate is experienced with database tools including Azure, MySQL, MS-SQL, and PostgreSQL as well as proficiency with data visualization platforms such as Power BI and Tableau. The data engineer will play a key role in the ETL process and is comfortable collaborating with teammates from diverse academic backgrounds (e.g. economists, data analysts, ML scientists, and business managers) when:

·  Determining the types of data that are needed to maximize algorithm performance and business impact
·  Developing and maintaining data pipelines
·  Monitoring data quality across multiple projects
·  Converting and exchanging different file formats (e.g. XML, CSV, JSON) across ERP systems
·  Ensuring that data files are ready for analysis, modelling, and/or dashboarding

The Team

As a data engineer you will work with a growing team of data scientists to build econometric and machine learning models topredict business performance and provide impactful business insightsin key areas, such as financial forecasting,scenario planning,employee attrition and productivity, and understanding our clients, which will provide key inputs to critical businesses processes.  Underthe guidance of senior team members, you will participate in schema design and implementation of data pipelines. You will build reports, create insightful analytics, and communicate findings to business leaders.

Skills and Attributes for Success

We are looking for candidates who are highly motivated analytical thinkers with attention to detail. In addition to strong data management skills, the ideal 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 challenges.  The skills and attributes key to this role include:

·  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
·  Passionate and self-motivated about Big Data technologies

Minimum Requirements

·  Bachelor’s degree inComputer Science, Information Technology, Computer Engineering, or related quantitative field
·  Experience in supervised & unsupervised machine learning 
·  Proficient knowledge of Azure/AWS or any cloud platform
·  Proficient with SQL and common relational database toolsas well as ETL flows (SSIS)
·  Strong communication skills including the ability to communicate across multiple levels in the organization
·  Experience preparing/manipulating complex data for analysis, modelling, and/or dashboarding
·  Experience automating data pipelines for multiple projects
·  Familiarity with one or more programming languages used for data cleaning, analysis, and visualization: R, Python, Julia.
·  Comfortable working in a fast-paced environment

Ideal Additional Experience

·  Master’s degree in Data Science, Statistics, Computer Science, or related quantitative field
·  At least one year of post-graduate experiencein technology, 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.