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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].  

 

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]

 

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