EY Senior Data Scientist in Cambridge, Massachusetts

Senior Data Scientist

Tax

Requisition # CAM000I8

Post Date Feb 21, 2019

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Job Summary:

We are looking for an experienced data scientist to join the Advanced Technology Lab with a focus on Machine Learning, Natural Language Processing (NLP), Document Intelligence, and Blockchains research applied to complex problems involving large-scale data (documents and images) within EY’s Tax business and Global Innovation. Our lab has collaboration agreements with one of the leading MIT scientists and labs in networks science.

Essential Responsibilities:

  • Work with stakeholders, identifying opportunities for leveraging data to solve for business challenges

  • Identify valuable data sources / data sets that can be leveraged to improve results.

  • Analyze data to interpret against business opportunity and discover trends and patterns.

  • Process, cleanse, and verify the integrity of structured / un-structured data used for analysis.

  • Research and implement custom statistical models and machine learning algorithms.

  • Execute analytical experiments methodically to evolve an idea into successful solution.

  • Coordinate with engineering and software development team to integrate model into

  • continuous business / process / software cycle.

  • Present information using data visualization techniques.

  • Communicate results and ideas to key stakeholders / decision makers.

  • Mentor junior scientists.

Qualifications:

  • PhD Degree in Computer Science, Engineering Sciences, Applied Mathematics, Applied Physics

  • +5 years industry experience as a Data Scientist

  • Proficiency in Python, SQL, NoSQL, Shell Scripting, Linux

  • Familiarity with Scala, Java (optional)

  • Familiarity with data visualization tools (e.g. matplotlib, ggplot, bokeh, D3)

  • Excellent communication and presentation skills

Knowledge and Skills Requirements:

  • In-depth familiarity with Deep Learning, Machine Learning, Natural Language Processing, and Advanced Statistical Analysis

  • Expert-level familiarity with Deep Neural Networks, Tensorflow, Keras, PyTorch

  • Knowledge of cloud-based data science and open-source tools.

  • Knowledge of APIs, Git

  • The ability to work and collaborate with an interdisciplinary team of software developers, data scientists, data engineers and Subject Matter Professional (SMP) from the business practice

EY, an equal employment opportunity employer (Females/Minorities/Protected Veterans/Disabled), values the diversity of our workforce and the knowledge of our people.