EY Government & Public Sector - Senior – Technology Consulting - Data Scientist - Tysons, VA - SECRET CLEARANCE in McLean, Virginia
Government & Public Sector - Senior – Technology Consulting - Data Scientist - Tysons, VA - SECRET CLEARANCE
Requisition # MCL0047M
Post Date Nov 09, 2018
Ernst & Young LLP’s (EY) US Government and Public Sector (GPS) practice is a robust and emerging practice with tremendous potential for growth - and we are prepared to tap into that potential. Our US GPS practice combines an understanding of the public sector’s diverse needs, focused on delivering improved public services, with private sector leading practices. We respond to our client’s issues by bringing together highly skilled professionals across Advisory, Assurance, Tax and Transaction Advisory services. This integrated approach facilitates multidimensional support and flexibility to meet our clients changing needs.
We are seeing tremendous growth within the GPS team and there is a great need for rising leaders. Unprecedented challenges require us to be connected, responsive and insightful. Are you ready to join our team and help build a better working world?
A Data Scientist must be able to burrow into large structured and unstructured data sets using statistical & research methods, machine learning, and subject matter expertise to find insights and solve often poorly or loosely defined problems. This role will require a very methodical mindset combined with a keen set of skills in mathematics, statistics, algorithms, machine learning, and technology. In addition to being technically sound, this role also requires the knack for quickly gaining functional understanding of client data and client context to drive impactful analyses.
Analyses will need to be well documented and presented – the ability to present findings to clients and simply explain complex analyses is essential. Industrialization of findings will be important. This role will need to steward one-off analyses into recurring metrics and/or published data visualizations. This Data Scientist will work within a larger analytics team and needs to have a cursory understanding of data engineering, visualization design & development, and cloud infrastructure.
Role responsibilities also include:
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
Unifying, enriching, and analyzing client data to derive new insights and opportunities
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
Solving problems by incorporating data into decision making
Knowledge and Skills Requirements:
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 data ingestion/cleansing methods
Strong skills with R or SAS
Strong Python coding experience
Experience with SQL, Hive, and Pig
Experience in solving problems using at least two of the following: Python, R, SAS, SPSS, and Java
Experience using data mining and statistical tools
Solid pattern recognition and predictive modelling skills
Working knowledge of recommendation engines, scoring systems, and A/B testing
Must have worked with multiple tools/libraries such as Weka, NumPy, PyMongo, R, etc.
Understanding of machine learning algorithms like k-NN, naive bayes, decision trees, SVM experience, among other methods
Experience with Azure Data Factory, DataBricks, and AzureML a plus
Familiarity with at least one data visualization development tool, e.g. - Tableau, PowerBI, D3.js
Data competition experience (e.g. on Kaggle platform) and past winning records are a plus
Ability to write clean, maintainable code and experience using Git as a code repository
Experience on Agile projects a plus
Experience on projects utilizing continuous delivery and deployment methodologies a plus
To qualify for the role you must have
A bachelor's degree and approximately 3-7 years of related work experience; Degree emphasis in Computer Science, IT or Engineering preferred; MBA or relevant graduate degree desired
External client delivery and solution knowledge spanning data management, data warehousing and reporting/analytics domains
A minimum of 4-years of experience in providing complex consultative services in the following ISM focus areas: information strategy, BI and visualization
Proven track record of understanding business challenges and translating them into value add solutions- strong analytical and problem-solving skills - actively participate in brainstorming, identifying core issues and effectively finding and using data to manage complex analysis
Engagement leadership experience including: managing junior level consulting staff, providing regular status updates, and monitoring project economics and hands on technical expertise as well as managing client relationships
Strong analytical and problem-solving skills as well as excellent oral and written communication skills
Active Secret Clearance or higher required
Proximity to the Washington D.C. Metro area
Skills and attributes for success:
Demonstrated abilities and success with identifying and addressing client needs
Actively participating in client discussions and meetings
Demonstrated abilities and success as a team member
Created a positive environment by monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members
Provided candid, meaningful feedback in a timely manner, and keeping leadership informed of progress and issues
Excellent leadership, communication (written and oral) and interpersonal skills
PMP, Tableau Desktop 9, Tableau Server 9 and/or Power BI certification.
What we look for
The ideal candidate will consistently achieve project objectives on time, within budget and with the highest quality results
Candidate must possess excellent verbal and written communication skills, ability to interact with both business and technical stakeholders
Candidate must be a team player as well as be able to work independently and manage development resources
Candidate will recognize the potential risks and is able to provide solutions
What working at EY offers
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
The opportunity to manage a portfolio of talent within a designated service line
A collaborative environment where everyone works together to create a better working world
Excellent training and development prospects, both through established programs and on-the-job training
An excellent team of senior colleagues, dedicated to managing and varying your workload
As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
Join us in building a better working world.
Ernst & Young LLP, an equal employment opportunity employer (Females/Minorities/Protected Veterans/Disabled), values the diversity of our workforce and the knowledge of our people
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin