Data Scientist

at Fidelity

location Boston, Massachusetts

Updated on May 06, 2020

Contract Position
6 month(s)

  • Referral Bonus

    $980

    approx.
  • Signing Bonus

    $980

    approx.

Pay Rate $98.00 per hour

Experience 7-12 Years

Eligibility H-1B visa, Green Card, US citizen

Industry

Information Technology Services

Travel

Not Specified

Job ID

SHUDC709125

Working Remotely Allowed

No

JOB DESCRIPTION

Client is seeking a Principal Data Scientist with experience in Virtual Assistants or chatbots, Natural Language Processing/text analytics, machine learning, various deep learning related technologies, predictive and prescriptive analytics. 

The Purpose of Your Role:
This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Operations Management, Call Center, and others across multiple business units and teams to define and develop AI-based solutions. Candidate must be comfortable in a fast-moving, unexpected and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation. 

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a consistent track record of assuring quality of data gathering and analysis, be a standout colleague who thrives in a robust work environment and acts with confidence to communicate to all levels of Workplace Investing and the Client Enterprise

The Skills You Bring:
PhD in Computer Science with extensive research papers on Virtual Assistant/Natural Language Processing, OR Master’s Degree in Computer Science, Statistics, Data Science or similar technical subject area with at least 5 years relevant professional experience
Deep understanding of Machine Learning & Deep Learning algorithms
Knowledge of most of the following quantitative fields: Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment 
Statistical and data science programming skills, such as Python and R
Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr
Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred
Experience deploying NLP solutions in a commercial environment

The Value You Deliver:
Handle and guide data science and data engineering elements of AI projects
Set a strategic direction for data identification, collection and qualification activities
Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
Develop standard methodologies for data science, considering the full analytical lifecycle
Develop guidelines for the evaluation of new analytical tools and platforms
Implement new technologies in a production environment with product, IT, and data engineering teams
Present reports and findings to senior level technical and non-technical audiences
Passion and excitement for team work!

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