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]
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