Loci, Inc. a high-growth tech company that is redefining the world of innovation by developing a platform technology which maps the landscape of innovation. Loci takes search and analysis to the next step. Its software is the poised to be the leader of the next generation of search engine which looks backward to outline direct ancestors of a concept and looks forward to outline direct descendants of a concept. Below is a list of qualification that Loci is interested in. If you have some of these skills, forward a resume to John Wise, CEO, Loci, [log in to unmask]<mailto:[log in to unmask]>. What Loci is looking for: 1) FrontEnd Interaction: business rules front end - to interface with Client Requires: SQL JSON REST / AJAX Java nodeJS/javascript unix / extra points: Amazon AWS PHP Server security Apache Apache Spark JSEE Multi-threaded java 2) Backbone - TechMap - to build/maintain the backbone structure for TechMap and its interfaces with significant interaction with other developers: Requires: Java SparkGraph SparkML SparkSQL RDD SQL, noSQL, Hadoop, Cassandra, (as user) Neural Networks Logistical Regression Algorithms Graphical Network Programming Experience with clustering/classification (general knowledge) extra points: Amazon AWS RDD PHP DB Server security Apache Apache Spark JSEE Multi-threaded java SparkGraph SparkML SQL, noSQL, Hadoop, Cassandra, SparkSQL Java (for db programming, etc.) Javascript (for db programming if on NodeJS) JSON / XML Serialization Data Cleaning Spring / Roo / Hibernate / etc. 3) Database - to build/maintain DB and DB interfaces with significant interaction with other developers: Requires: SQL, noSQL, Hadoop, Cassandra, SparkSQL Java (for db programming, etc.) Javascript (for db programming if on NodeJS) JSON / XML Serialization Data Cleaning Spring / Roo / Hibernate / etc. extra points: Amazon AWS RDD PHP DB Server security Apache Apache Spark JSEE Multi-threaded java SparkGraph SparkML 4) Commonalities/Injesting - TechMap - to build/maintain the crawling / input side of Techmap and its interfaces (there may be a split between data science ingesting and ML on this team) with significant interaction with other developers: Requires: Java Crawling Ingesting Clustering and Sentence Clustering (trained and not) (kmeans, hierarchical clustering, concept generation, and more!) Classification Algorithms (multiple tree Classification by multinomial multi-property hierarchies) Apache Spark SparkGraph SparkML SparkSQL RDD SQL, noSQL, Hadoop, Cassandra, (as user) Scala Python (for data scientists and for testing and conversion of algorithms) Data Cleaning (for data scientists and somewhat for clustering team) Multi-threaded java (v1.8!) Neural Networks Logistical Regression Algorithms Graphical Network Programming extra points: Amazon AWS PHP DB Server security SQL, noSQL, Hadoop, Cassandra Serialization Spring / Roo / Hibernate / etc. 5) Search and Search Ranking - Team A) closely coupled with Commonalities/Injesting, serving as input to Ingesting process. Team B) perform improvements of associative search. Team C) perform UI and backend for Search Specification, and programming occurrence / result set management, and compound search structures. Requires: Java Apache Spark SparkGraph SparkML SparkSQL RDD SQL, noSQL, Hadoop, Cassandra, (as user) Scala Python (for data scientists and for testing and conversion of algorithms) Data Cleaning (for data scientists and somewhat for clustering team) Multi-threaded java (v1.8!) Neural Networks Logistical Regression Algorithms Graphical Network Programming extra points: Amazon AWS PHP DB Server security SQL, noSQL, Hadoop, Cassandra Serialization Spring / Roo / Hibernate / etc. 6) Modeling - performs the design/programming for interpretation of conceptual objects as programmable objects, handles interpretation of concept node methods / attribute equations. This will include the UI for specification of equations, and (later) methods. Requires: Java Apache Spark SparkGraph SparkML SparkSQL RDD SQL, noSQL, Hadoop, Cassandra, (as user) Scala Python (for testing and conversion of algorithms) Graphical Network Programming (tree walks, etc) Experience with clustering/classification (general knowledge) Numerical Analysis Compiler theory Algorithmic Analysis / Systems Architecture (for algorithm performance improvements) Probability Theory (not Statistics, but Bayes Networks, etc.) PERT analysis Language Design Spreadsheet Derivation Trees extra points: Amazon AWS PHP DB Server security Apache JSEE Multi-threaded java JSON / XML Serialization Spring / Roo / Hibernate / etc. 7) Data Scientists - TechMap - Model Building - This is not data cleaning, but rather generating and use of TechMap's new techniques to build models / maps / forests / multi-forests. This is design of applications / decision support systems for related concepts. Requires: Scala Java Python (for testing and conversion of algorithms) Apache Spark SparkGraph SparkML SparkSQL RDD SQL, noSQL, Hadoop, Cassandra, (as user) Graphical Network Programming (tree walks, etc., and Theory!) Experience with clustering/classification (general knowledge) Algorithmic Analysis / Systems Architecture (for algorithm Design) Probability Theory (not Statistics, but Bayes Networks, etc.) PERT analysis Language Design extra points: Numerical Analysis Compiler theory Algorithmic Analysis / Systems Architecture (for algorithm performance improvements) Spreadsheet Derivation Trees Amazon AWS PHP DB Server security Apache JSEE Multi-threaded java JSON / XML Serialization Spring / Roo / Hibernate / etc. 8) Data Visualization / User Interface - InnVenn and TechMap - Validate / ReDesign the look and feel of the system as a workbench. This is much more a design team than an implementation team, seeking ways to minimize cost to users of the system to get the results needed, while maximizing the value that users bring to the system. Requires: Visualization Science User Interface Improvement Bob Osgood (SSA FBI - Retired) Director - Computer Forensics & Data Analytics George Mason University 703-993-5443 Engr 3255 [log in to unmask]<mailto:[log in to unmask]> [15-003_GMUunitilogos_VSE_1line4C Small]