Data Scientist

HII; The Prairies at Wright Field (OH); In loco; USD 103.000 - 133.000; Tempo pieno

Vantaggi offerti da questo lavoro

Best-in-class medical, dental and view

Wellness resources

Employee assistance programs

Savings Plan Options (401(k))

Financial planning tools

Life insurance

Employee discounts

Paid holidays

Paid time off

Tuition reimbursement

Educational scholarships

Bonus/other non-recurrent compensation

Descrizione del lavoro

HII, Mission Technologies, located at Wright-Patterson AFB in Ohio, seeks a Data Scientist/Engineer to design and implement data architectures for extremely large DoD datasets. You will develop on-prem and cloud workflows, evaluate tools, and translate requirements for technical teams.

The role requires mid-level experience, with 5+ years in related fields or 3 years with a Masters, and eligibility for a TS/SCI security clearance. Onsite operations and strong Linux/Python skills are expected.

Competenze

• Experience with data analytics, data workflow, and database tools.
• Ability to develop and maintain data analytic protocols and documentation.
• Experience designing data models for complex analysis.
• Experience defining vendor requirements to meet DoD needs.
• Experience with multiple datasets and database technologies.
• Experience building end-to-end data pipelines.
• Experience with cloud and on-premise database technologies.
• Experience with Python and Matlab for data exploration, analysis, and visualization.
• Familiarity with Linux operating environment.
• Experience with open-source containerization tools.

Mansioni

• Investigate and implement open-source tools for storage and use of very large data sets.
• Determine tools and methods to extract key data points for analysts.
• Conduct data exploration, analysis, and feature extraction for pipelines.
• Augment and maintain an on-premises compute environment as part of a team.
• Translate requirements into capabilities for technical teams.
• Provide status reports to internal stakeholders.
• Evaluate new tools, technologies, and processes for on-premises environments.
• Familiarize with the customer mission to identify data solutions.
• Propose solutions addressing DoD data management challenges.
• Support Linux system configuration and capacity planning for large-scale analytics.

Conoscenze

Python

Matlab

Linux

Data pipelines

Data analysis

Open-source tools

Cloud/on-prem databases

Formazione

Bachelor's degree in related field

Master's degree in related field

Strumenti

Containerization (Docker)

Databases (various types)

Descrizione del lavoro

The Data Scientist/Engineer role at HII (Mission Technologies) supports DoD-focused analytics by designing and implementing data architecture, tools, and techniques for extremely large data sets. The position is located onsite at Wright-Patterson Air Force Base in Ohio.

Onsite Location

Wright-Patterson AFB, OH (onsite)

The work site is at Wright Patterson Air Force Base (WPAFB), Ohio, within commutable distance from Beavercreek, Fairborn, Dayton, and Riverside.

Salary and Employment Details

• Salary Range: USD 103,467 - 132,500 per yearly
• Employment Type: Full Time/Salaried/Exempt
• Level of Experience: Mid
• Requisition Number: 31014
• Required Travel: 0 - 10%

Security Clearance: Secret (to start)

Security Clearance Requirement: Must be able to obtain and maintain a TS/SCI security clearance with enhanced security checks.

Company Division: HII’s Mission Technologies division

Role Summary

This position designs, develops, and implements database architecture and supporting tools and techniques to manage extremely large data sets for DoD customer data analyst use. The role includes work to support data management and workflow solutions aligned with customer mission needs.

Key Responsibilities

• Investigate, determine, and implement suitable open-source tools for storage, managing, and use of extremely large data sets.
• Investigate, determine, and implement tools and methodologies for extracting key data points for analysis by data analysts.
• Conduct data exploration, analysis, and feature extraction to incorporate into DoD customer organization data pipelines and workflows.
• Contribute to a team responsible for creating, maintaining, and augmenting an on-premises compute environment.
• Translate requirements into capabilities for technical teams.
• Provide status reports to key internal stakeholders.
• Evaluate new tools, technologies, and processes to improve the on-premises environment.
• Gain familiarity of the customer mission to identify and/or develop data management and workflow solutions.
• Propose solutions and strategies to address unique challenges throughout the DoD customer organization.
• Support Linux system configuration and capacity planning for large scale data analytics on-premises and cloud.
• Perform additional duties as assigned or required.

Required Qualifications

• Experience Level Requirements: 5 years relevant experience with a Bachelor in a related field; or 3 years relevant experience with a Masters in a related field.
• Experience defining requirements for using and maintaining open-source data analytics, data workflow, and database tools.
• Ability to develop, implement, and maintain data analytic protocols, standards, and documentation.
• Experience designing data models based on requirements and needs for complex analysis.
• Experience defining requirements for vendors to implement into proposed solutions to meet DoD customer organization needs and use cases.
• Experience working with multiple types of datasets and database technologies.
• Experience building data pipelines end to end.
• Experience with multiple industry standard cloud and on-premise database technologies.
• Experience with data exploration, analysis, and visualization tools such as Python and Matlab.
• Familiarity and experience with a Linux operating environment.
• Experience with open-source containerization technologies and tools, including how to apply them as appropriate for database technologies and analytics.
• Ability to define internal process improvements to automate repetitive tasks and minimize downtime between analysis.

Technologies

• Python
• Matlab
• Linux

Benefits

• Best-in-class medical, dental and vision plan choices
• Wellness resources
• Employee assistance programs
• Savings Plan Options (401(k))
• Financial planning tools
• Life insurance
• Employee discounts
• Paid holidays
• Paid time off
• Tuition reimbursement
• Early childhood and post-secondary education scholarships
• Bonus/other non-recurrent compensation is occasionally offered for qualified positions

Work Environment and Physical Requirements

The role may require working in an office, industrial, shipboard, or laboratory environment. The position may involve climbing ladders and tolerating confined spaces and extreme temperature variances.

Additional Information

Posting Tag: #LI-HB1

Learn more about Mission Technologies: https://vimeo.com/732533072