Data Scientist Senior with Security Clearance

Company: ClearanceJobs

Location: Washington - Verenigde Staten

Posted on: September 23

RESPONSIBILITIES The Senior Data Scientist supporting Multi-Domain Task Force Pacific (MDTF-Pacific). Provides a team of highly skilled engineers and data scientists to collect - ingest - process - analyze - visualize - and share data in support the United States Indo-Pacific Command (USINDOPACOM). The team will be responsible for the assembly of infrastructure within a cloud environment that is... scalable - highly available - and adaptable with multiple environments that take advantage of managed services in the cloud. Involved in the analysis of unstructured and semi-structured data - including latent semantic indexing (LSI) - entity identification and tagging - complex event processing (CEP) - and the application of analysis algorithms on distributed - clustered - and cloud-based high-performance infrastructures. Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces. Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data. Requires strong technical and computational skills engineering - physics - mathematics - coupled with the ability to code design - develop - and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments. Has the ability to utilize advanced tools and computational skills to interpret - connect - predict and make discoveries in complex data and deliver recommendations for business and analytic decisions. Experience with software development - either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET - C# - C++). Experience with data transport and transformation APIs and technologies such as JSON - XML - XSLT - JDBC - SOAP and REST. Experience with Cloud-based data analysis tools including Hadoop and Mahout - Acumulo - Hive - Impala - Pig - and similar. Experience with visual analytic tools like Microsoft Pivot - Palantir - or Visual Analytics. Experience with open-source textual processing such as Lucene - Sphinx - Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI - LDA - etc. Experience with machine learning - algorithm analysis - and data clustering. QUALIFICATIONS BS 12-15 - MS 10-13. PhD 10+ Requires the following skillsets: Capable of building Python scripts and packages that will be used by the data analysts. The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning) - natural language processing (named entity extraction - summarization - etc.) - and network analysis (social network analysis - centrality analysis - dynamic network analysis). - Must have expertise in maintaining and deploying a notebook-based data science environment (JupyterHub). -Must have experience in advanced Python data science packages (pandas - networkx - scikit-learn - pyTorch or TensorFlow/Keras - matplotlib or plotly - etc.) -Work location is Joint Base Lewis Mcchord with the Multi-Domain Task Force. Clearance Required: Must hold an active TS/SCI clearance. Required Certification: Must hold the appropriate DoD 8570.01 baseline certification applicable to their work role prior to beginning work. Work schedule is Monday-Friday - from 8 am 5 pm