Lead Data Scientist

  • SAIC, Inc
  • Bethesda, MD, USA
  • Jun 12, 2021

Job Description

Description

Clearly and fluently translate technical findings to a non-technical cusotmers using multi-media

 Extract relevant features from a large dataset that may contain bad records, partial records, errors, or other forms of “noise”

Extract features from a data stored in a wide range of possible formats, including JSON, XML, raw text logs, industry-specific encodings, and graph link data

 Integrate natural language processing, computer vision, signal processing, and speaker and speech recognition algorithms to construct, implement, and orchestrate common data services and data pipelines for transporting, storing, indexing, triaging, exploiting, and disseminating DOMEX data

Utilize Descriptive and Inferential Statistics on Big Data (including Use statistical tests) to determine confidence for a hypothesis, calculate common summary statistics, such as mean, variance, and counts, in order to fit a distribution to a dataset and use that distribution to predict event likelihoods and perform complex statistical calculations on a large dataset 

Utilize Advanced Analytical Techniques on Big Data (Building models that contain relevant features from large datasets, defining relevant data groupings, including number, size, and characteristics, assign data records from a large dataset into a defined set of data groupings, evaluate goodness of fit for a given set of data groupings and a dataset, and applying advanced analytical techniques), geoprocessing, and entity resolution

Qualifications

  • Must have an active/current TS/SCI with Polygraph.
  • Bachelor’s degree or equivalent years and 10 years of experience
  • Experience developing data models
  • Experience developing and maintaining data processing flows using NiFi
  • Basic familiarity with building containerized services (e.g. via Docker)
  • Experience with JIRA and Confluence, and the rest of the Atlassian suite