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Senior Data Scientist

Company: Expedite Technology Solutions
Location: Remote
Posted on: November 25, 2022

Job Description:

Education: Bachelor's
Clearance: Public Trust (Full Clearance)

This work is Sold Unsold

Specialization : N/A

Technical Skills :

Years/Level of Experience

Natural Language Processing (NLP)
P5 - Master

Data Science
P5 - Master

Role Description :

Manage, architect and analyze big data in order to build data driven insights and high impact data models. Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing. Examine data from multiple sources and share insights which provide competitive advantage. Contribute to assets/offerings and thought leadership. Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation.

The candidate will provide technical leadership and engineering support for a Task Order using advanced natural language processing techniques, deep learning and big data analytics.
PhD or Master Degree +10 years experience in a domain relevant to Data Science, Machine Learning, Natural Language Processing or clinical environment or demonstrated equivalent track record
5+ years of managing entire data science project life cycle and actively involved in all the phases of project life cycle. Active member of R&D team and responsible for productizing best performing models and deploy it in cloud
3+ years of hands-on experience with deep learning techniques such as Feedforward Neural Network, Convolutional Neural Network (CNN), Recursive Neural Network (RNN), Long short-term memory (LSTM) for NLP tasks like Text Parsing, Text Summarization, Conversational Systems, Advanced Text Analytics
Expertise in Natural Language Understanding (NLU), Natural Language Generation (NLG) and Machine Learning domains
Working knowledge in Hadoop Core Components (HDFS, MapReduce), Hadoop Ecosystem (Hive, Pig) and Apache Spark.
Experience in Relational Modeling, Dimensional Modeling, and Modeling of Unstructured data
Hands-on experience with Libraries such as Libraries: Pandas, Numpy, Matplotlib, Seaborn, Sklearn, Keras, TensorFlow, Mllib, JobLib, Dplyr, data.table, Lubridate, ggplot2, Plotly, XGBoost, Glmnet, Rshiny
Hands-on experience with a broad range of current deep learning tools (e.g., TensorFlow, Spark, PyTorch, Keras, Nvidia Digits) and collaboration environments (e.g. Jupyter notebooks, PyCharm)
Experience in leading inter-disciplinary teams, develop, and productionize Machine Learning/Deep Learning models and frameworks (Horovord, Tensorflow 2.0, Kubeflow, AWS Sagemaker) and Language modelling frameworks (eg: HuggingFace)
Create and maintain conceptual, logical, and scalable physical data models that embrace Domain Driven Design best practices
Ability to assist in the creation of forecasting tools and models using mathematical and statistical techniques to determine continuous improvement opportunities
Proven experience providing technical leadership
Excellent oral and written communication skills
Excellent time management
Ability to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goals
Ability to contribute to the creation of an environment that motivates individuals to work collaboratively as a team
Required Skills:

Scripting Languages (Python, R, SQL, etc.)
Machine Learning Frameworks
Natural Language Processing
Big Data Consumption Tools
Deep Learning
Data Modeling

The following skills are not required but are desirable:
Experience with NLP technologies in a clinical background
1. Expert level understanding of the UMLS
2. Experience designing methods for dealing with large document source variance
3. Expert level understanding of ontology and taxonomy curation
4. Prior publication is a plus
Java coding capabilities with experience in J2EE framework such as Core Java, Spring, EJB, JDBC, JMS, Struts
Demonstrated knowledge of Clinical Terminology, Vocabulary, and Standards of Health IT and an understanding of Health IT Standards (HL7 v2.x, HL7 v3, ASTM, X12N, HITSP component specifications, Clinical Document Architecture, Continuity of Care Record and the Health Story implementation guides)
Experience validating or adhering to Health Information Technology Standards Panel (HITSP) Standards
Experience with Integrating the Healthcare Enterprise (IHE) Standards (PIX, PDQ, XDS.b, XDR)

Keywords: Expedite Technology Solutions, Eugene , Senior Data Scientist, Other , Remote, Oregon

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