Algorithmic Execution Quant Jobs in Arkansas (NOW HIRING)

GENERAL DESCRIPTION OF POSITION
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
This role will facilitate the end-to-end development, testing, and monitoring of analytical models across our brands. The Data Scientist will use machine learning and algorithms in an effort to improve data quality and generate insights from the data. The role will be very hands-on and focused in AI/ML model development. This scientist will attend daily standups and work in an Agile environment.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Design and develop algorithms and models to use against large datasets to create business insights
- Participate in analytical projects as a data science/technical lead
- May work independently in a solution environment
- Aid in the appropriate selection, utilization and interpretation of advanced analytical methodologies
- Execute tasks with high levels of efficiency and quality
- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners including preparing reports, updates and/or presentations related to progress made on a project or solution
- Work with project teams and business partners to determine project goals and deliver productionized models and tools using Agile (including data processing, scripting, modeling, measurement, error handling, and documentation)
- Present recommendations in a confident manner in order to influence execution of recommendation
- Incorporate business knowledge into solution approachIdentify relevant data sources to mine given target outcomes
- Collect large structured and unstructured datasets and variables
- Analyze data for trends and patterns, and interpret data with a clear objective in mind
- Effectively develop trust and collaboration with internal customers and cross-functional teams
- Work with project teams and business partners to determine project goals
- Participate in the continuous improvement of analytics by developing replicable solutions (e.g., codified data products, project documentation, flowcharts) to ensure solutions are leveraged for future projects
- Utilizing statistical techniques to identify key insights that help solve business problems including mastery in predictive modeling, data mining and data analysis
- Perform any other related duties as required or assigned.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND EXPERIENCE
Bachelor's degree in a quantitative field like Computer Science, Statistics, Engineering, Science, or Mathematics. 1 to 3 years of related experience in data mining and analytics, database structure and ETL, predictive modeling, machine learning, and statistical programming languages.