Job Description

The purpose of this job is to apply modern data mining, statistical modeling, and machine learning techniques to execute large-scale projects, and ensure the accuracy and reliability of business intelligence methodologies.

Essential Functions: 
1. Develop machine learning models to automate decision making such as diesel price elasticity, and rack and freight modeling
2. Serve as mentor and teacher for the Business Intelligence (BI) team in both theoretical and applied science; elevate the potential of the BI team based on knowledge and experience
3. Develop software for machine learning and data analytics code infrastructure
4. Advise and educate Data Science team members and Decision Science team members on algorithms, techniques, and technologies; ensure methodologies are sound
5. Present findings on behalf of the Data Science group to business partners and senior management; translate complex technical data into tangible, actionable intelligence
6. Produce/publish reporting and data changes/submissions to ensure the business is using accurate and relevant information for decision-making
7. Represent the BI department in area of focus to facilitate meetings/discussion, make decisions on path forward and participate in planning
8. Monitor data science models within the production environment to ensure optimal outcomes and profitability; modify when necessary
9. Communicate with business and technical users to ensure project scope is accurately defined and optimal output is produced

* PhD or master’s degree, plus equivalent experience in a business analytics, mathematics, computer science, or statistics related field of study required
* Minimum eight years’ experience working with large volumes of data from disparate data sources
* Minimum eight years’ experience with data mining techniques, statistical data model development and self-learning models
* Minimum eight years’ experience with statistical modeling and simulation tools including R, SAS, and Python
* Experience deploying code into dev, test, QA/QC and prod environments

Specialized Knowledge
* Expert knowledge and experience in computer science, data analytics, and statistical modeling
* Mastery and comprehensive proficiency in SQL
* Experience in cloud computing on AWS (Azure or GPC a plus)
* Experience in highly specific languages preferred Lua, Julia, Scala, etc.

* Ability to tackle large scale projects applying modern data mining, statistical modeling, and machine learning techniques
* Ability to work with large volumes of data and translate results into meaningful and actionable intelligence
* Exellent written and verbal communication skills and the abilitly to impart complex technical information to both technical and non-technical audiences
* Ability to set priorities, work independently and remain engaged with problems to resolution
* Analytically minded, innovative and intellectually curious
* High level of customer service skills
* Ability to work as a member of a team to achieve stated goals

5508 Lonas Rd

Application Instructions

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