EY Senior Data Scientist in Poland
Senior Data Scientist
Core Business Services
Requisition # POL000TY
Post Date Jan 09, 2019
About EY GDS
EY Global Delivery Services means 27.000 specialists providing globally IT, HR, finance, project management and strategic business services to EY member firms. In addition we deliver support and solutions to clients from all over the world.
The position is part of a team that imagines, designs, develops and delivers software assets which use data, models and analytic methods to (a) enable line professionals to deliver work more efficiently and with higher quality; and (b) enhance our ability to win the market by demonstrating innovative uses of data. S/he works in collaboration with leaders and SMEs in various practices across Service Lines, and with software development teams on and off-shore.
Essential Functions of the Job:
As an asset development data scientist, develops a firm understanding of the essential business requirements through interaction with, and interrogation of, business SMEs and translates that understanding into designs that addresses the requirements, with maximum generality, using data science methods, including:
Data assembly, cleansing, validation
Statistical modeling, supervised and unsupervised machine learning, mathematical programming
Inspects data to confirm that it is consistent with expectations; modifies designs as necessary.
Using his/her preferred data science toolkit and appropriate data, creates prototypes of key data manipulations, visualizations and mathematical modeling elements, validating and refining his/her designs.
Validates the designs with the business SMEs via discussion, examples, prototype demonstrations and documentation and iterates designs in response to negotiations with business SMEs.
Conveys the designs to the software development teams via discussion, documentation and prototype code. Ensures that the software implementation conforms to design expectations via inspection and testing.
Collaborates with business SMEs in the development of training and reference materials to ensure that solutions are utilized in the most effective and highest quality manner.
In collaboration with the development team leadership, manages the execution of the asset development work to ensure business stakeholder delight in the quality, cost, and timeliness of the development and delivery.
In collaboration with the business team and development team leadership, directs the execution of teams outside the business and development teams, especially ITS, Infosec and Data Privacy to ensure that appropriate infrastructure and certifications are completed in conjunction with the completed asset delivery.
Builds personal relationships with Sector/Service Line leadership to increase awareness of the Data Science asset development competency, and to facilitate effective participation in key pursuits and initiatives.
Participates with account teams on designated key accounts, to supply expert guidance on both the availability and applicability of existing solutions; and to discover client needs which can be addressed with advanced analytic solutions not currently developed.
Actively participates in communities of data scientists across the firm
Knowledge and Skills Requirements:
Solid understanding of a range of statistical and machine learning techniques and algorithms, such as logistic regression, KNN, decision trees, SVM, CNN, etc.
Solid understanding of basic applied statistics: distributions, statistical testing, regression, etc.
Experience with common data science toolkits, such as R, Weka, NumPy, Scikit-Learn, MatLab, etc. High degree of proficiency in at least one.
Experience with data visualization tools, such as D3.js, GGplot, Tableau, etc.
Good scripting and programming skills; SQL proficiency.
Great verbal and written communication skills
Nice to have
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Experience with Hadoop ecosystems
Experience with Alteryx or other data wrangling tools
Graduate degree in Operations Research, Industrial Engineering, Computer Science, or related discipline.
- Minimum of 4 years in the market with PhD or 7 years with MS degree, designing and delivering services or solutions for which data modeling and analytics are a significant component.
Nice to have:
- CAP – Certified Analytics Professional
What working at EY GDS offers?
In EY GDS you can count on stable employment and upgrading your career. You will meet people and gain important knowledge and insights that will stay with you throughout your professional life.