This company is committed to hiring Veterans

Data Scientist

This job is no longer active. View similar jobs.

POST DATE 8/10/2016
END DATE 10/22/2016

Cotiviti USA, LLC Atlanta, GA

Company
Cotiviti USA, LLC
Job Classification
Full Time
Company Ref #
16-0947
AJE Ref #
575841114
Location
Atlanta, GA
Experience
Mid-Career (2 - 15 years)
Job Type
Regular
Education
Masters Degree

JOB DESCRIPTION

APPLY
Description

Cotiviti is looking for an industry leading Data Scientist to join a revolution in Healthcare and build a first-in-market analytics capability. This is a pioneering data scientist who will participate in expanding the new analytics backbone of the company. Cotiviti s first-in-market analytics capability is powered by social networking technology and enables a more efficient experience for both healthcare providers and customers. As a Data Scientist at Cotiviti you will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist with the guts, flexibility, and personal drive to succeed in a dynamic environment.

Who You Are

* Curious: You enjoy peeling apart a problem and examining the interrelationships between data that may appear superficially unrelated.

* Creative: You constantly invent and try new approaches to solving problems, which often times have never been applied in such contexts before.

* Practical: You explore theories with an eye to the real world application to the business and the potential for improving performance for clients and customers.

* Focused: You're intent on designing and testing a technique over periods of days and weeks, discovering what is successful and what should be optimized further. Furthermore, you learn from the failure and trying again.

* Determined: You will have both the challenge and opportunity to help design our analytical backend from the ground-up, and therefore must be comfortable as both a team member and a leader in our data science effort.

Key Responsibilities

You will build innovative tools to provide our clients with insights on how to improve their business. You will have responsibility for architecting and developing best-in-class analytics that create quantifiable value for our business. You will have responsibility for establishing and sustaining processes and practices that support big data and analytics solutions and applications in an open source environment. You should have a passion for creating solutions and driving innovation with an interest in collaborating with team members. This role demands time spent working independently and as part of a team. You will also focus on specific deadlines defined by the management team.

* Function as Data Scientist which carries the expectation to enhance an SaaS platform that integrates both relational and non-relational databases at scale with both algorithmic logic and front-end interfaces.

* Participate in product development with leadership team meetings and communicate with advisors regularly on all matters regarding insights and technology developments.

* Define the software architecture of the growing data analytics capability and build substantial portions yourself.

* Architect and hands-on development of analytics solutions

* Define and develop analytical, statistical and machine learning algorithms for advanced analysis and prediction

* Architect, design, build and integrate solutions using Hadoop and open source solutions: Pig, Hive, Python, Ruby, Whatever, the Mahout machine learning library

* Drive automation capabilities into platforms and solutions

* Establish credibility and strong working relationship with development teams to review design and code for adherence to established standards and best practices

* Acquire and ingest data from a variety of sources to extend our products and solutions (innovate)

* Evaluate current databases to determine if we can do better using Hadoop

* Deliver using an Agile development process

* Maintain our repository and other relevant documentation

* Architect and hands-on development of Analytics solutions

* Define and develop analytical, statistical and machine learning algorithms for advanced analysis and prediction

* Architect, design, build and integrate solutions using Hadoop and open source solutions: Pig, Hive, Python, Ruby, Whatever, the Mahout machine learning library

Requirements

Basic Qualifications

* MS or PhD. Degree in relevant discipline (Math, Statistics, Computer Science, Engineering or Health Sciences)

* 7 - 10 years experience in advanced analytics

* 5 - 10 years experience in a data architecture role with deep understanding of architecture principles & best practices

* Experience in Big Data and Hadoop analytics environments

* Experience with multiple scripting languages (Python, Ruby, Spark, Scala, Hive, etc.)

* Experience in Agile environment

* Working knowledge of the Hadoop ecosystem (including creating and debugging)

* Must have flexibility and willingness to participate in the work processes of an international organization, including conference calls scheduled to accommodate global time zones

* Extensive experience in fully architecting and executing complex analytical backends

* Expert proficiency with Node.js and SQL; Expert proficiency in one or more programming languages such as Java, Perl, Python, et al; Expert proficiency in at least one statistical modeling program like R, MATLAB, or Stata

* Expert experience in machine learning, artificial intelligence and/or artificial neural networks

* Expert knowledge of various mathematical and statistical models to include, but not limited to: Discrete Event Simulation, Factor Analysis, Genetic Algorithms, Bayesian

* Probability Models, Hidden Markov Models and Sensitivity Analysis

* Ability to setup and maintain database for extremely large datasets using current database technologies (ex. Hadoop)

* Strong experience in using application programming interfaces (API)

* Proficient in the big data ecosystem with familiarity with Hadoop, Yarn, Spark, and/or Storm

* Proficient in at least one big data store, for example: hBase, Cassandra, Hive, etc.

* Proficiency with MongoDB with BSON

* Demonstrated technical abilities to engineer products that large datasets, with tools that may include: Cluster computing, Grid Computing, Graphical Processing Unit Computing

* Commercial Cloud Systems such as Amazon Elastic Cloud Compute EC2

* We are an Equal Opportunity Employer.

* Please view Equal Employment Opportunity Posters provided by OFCCP here.

* Cotiviti is an Equal Opportunity Employer. The Company provides equal employment opportunities to all applicants for employment without regard to gender, sexual orientation or preference, gender identity or expression, race, color, religion, national origin, ethnicity, ancestry, age, marital status, pregnancy, childbirth or related medical conditions, mental or physical disability, veteran status or any other characteristic protected by federal, state or local law, ordinance or regulation..

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans. Please view Equal Employment Opportunity Posters provided by OFCCP here.