Data Scientist / Big Data Engineer

Overview

JOB TITLE:

Data Scientist / Big Data Engineer

CAYUSE COMPANY:

Cayuse Civil Services, LLC

LOCATION

Austin, TX - Hybrid (3 day remote | Mon & Fri Onsite)

SALARY:

Based on experience and position level

 

**This position is posted for future opportunities.  Please submit your application to be considered for similar upcoming roles**

Responsibilities

The Work 

The Data Scientist (Big Data Engineer) makes value out of data. They will proactively fetch information from various sources and analyze it for a better understanding about how the business performs. They will then use that information to build AI tools that automate certain processes within the company. 

 

This position performs all duties and responsibilities in accordance with the Mission, Vision, and Core Values of Cayuse. 

 

Key Responsibilities  

• Perform data mining, exploration, and analysis. 

• Design, train, evaluate, and implement machine learning algorithms and predictive models. 

• Work with stakeholders to identify opportunities for improving business processes and addressing current pain points, using data insights, forecasts, and analytics. 

• Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business goals. 

• Develop Key Performance Indicators (KPIs), metrics, trend tracking, prediction, and forecasting models. 

• Evaluate and understand complex issues from business partners and recommend solutions. 

• Work closely with team throughout all phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment. 

• Build, implement, and maintain predictive models throughout their full lifecycle. 

• Identify patterns and trends in data and provide insights to enhance business decision making. 

• Set up and monitor monthly model recalibration process. 

• Generate complex ad-hoc analyses combining disparate concepts or creating new approaches. 

• Design and create new analytic procedures and automation. 

• Other duties as assigned. 

Qualifications

Qualifications – Here’s What You Need  

The qualifications and skills listed below are intended to provide a general overview of the requirements for this position. However, due to the anticipated nature of the contract and the absence of a finalized task order from the client, this list should not be considered all-encompassing. Additional qualifications, certifications, skills, or experience specific to the client’s requirements may be identified and requested upon award of the task order. Candidates should demonstrate flexibility and a willingness to adapt to evolving responsibilities as outlined by the client. 

• Level 1: 1-3 years of experience in the field or in a related area. Has knowledge of commonly used concepts, practices, and procedures within a particular field. Relies on instructions and pre-established guidelines to perform the functions of the job. Primary job functions do not typically require exercising independent judgment.   

• Level 2: 4-7 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals.  A certain degree of creativity and latitude is required.  Works under limited supervision with considerable latitude for the use of initiative and independent judgment.   

• Level 3: 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks; may lead and direct the work of others. A wide degree of creativity and latitude is expected. 

• All Levels 

• Demonstrated expertise in constructing distributed machine learning pipeline from scratch 

• Demonstrated experience performing end-to-end project delivery, including data visualization, performing research, and conducting presentations for non-technical audiences. 

• Strong documentation, organizational, and time management skills. 

• Strong verbal and written communication skills to effectively collaborate with team members and stakeholders. 

• Must be able to pass a background check. May require additional background checks as re