Data Science Capabilities Lead - Onsite

  • Urbandale, IA
  • Posted 3 days ago | Updated 3 days ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 16 Month(s)

Skills

systems engineering
process improvement
enterprise architecture
Six Sigma
Lean
process improvement methodologies
CSEP
Lean Six Sigma
TOGAF
MS applications
Github
Azure DevOps
data analytics
digital engineering
systems engineering standards
INCOSE
ISO/IEC 15288
SysML
DOORS
Python
SQL
DataBricks
Google BigQuery
AWS
ESRI
GIS tools
R&D-heavy industries
aerospace
defense
medical devices
advanced manufacturing
product development lifecycle
definition
measurement
analysis
design
verification
technical systems
R&D processes
root cause analysis
corrective action planning
system requirements
architectures
interfaces
trade studies
risk assessments
design verification activities
system validation
architecture frameworks
product development
Align IT systems
tools
data flows
engineering
business strategies
model-based systems engineering
MBSE
digital twins
simulation tools
reduce development cycles
concept development
agile
lean product development methodologies

Job Details

Title: Data Science Capabilities Lead - Onsite

Mandatory skills:


systems engineering, process improvement, enterprise architecture,
Six Sigma, Lean, process improvement methodologies, Systems Engineering, CSEP, Lean Six Sigma, TOGAF,
MS applications, Github, Azure DevOps,
data analytics, digital engineering,
systems engineering standards, INCOSE, ISO/IEC 15288,
SysML, DOORS,
Python, SQL,
DataBricks, Google BigQuery, AWS, ESRI, GIS tools,
R&D-heavy industries, aerospace, defense, medical devices, advanced manufacturing,
process improvement, systems engineering, enterprise architecture, product development lifecycle,
definition, measurement, analysis, design, verification, technical systems,
R&D processes, root cause analysis, corrective action planning, system requirements, architectures, interfaces, trade studies, risk assessments, design verification activities, system validation,
architecture frameworks, product development, Align IT systems, tools, data flows, engineering, business strategies,
model-based systems engineering, MBSE, digital twins, simulation tools, reduce development cycles, concept development,
agile, lean product development methodologies

Description:

Position Summary:
We are seeking a highly analytical and forward-thinking Capabilities Lead for Data Science to support initiatives that enhance our product development lifecycle through process improvement, systems engineering, and enterprise architecture. This role is pivotal in accelerating the definition, measurement, analysis, design, and verification of innovative products by aligning technical systems with business goals and optimizing cross-functional workflows.

Key Responsibilities:

Process Improvement & Optimization:
Identify, analyze, and improve existing engineering and R&D processes to enhance efficiency, quality, and speed.
Develop and implement metrics and KPIs to measure process performance and drive continuous improvement.
Facilitate root cause analysis and corrective action planning.

Systems Engineering:
Lead the development and management of system requirements, architectures, and interfaces across the product lifecycle.
Support trade studies, risk assessments, and design verification activities.
Ensure traceability from stakeholder needs through system validation.

Enterprise Architecture:
Design and maintain enterprise-level architecture frameworks that support scalable and sustainable product development.
Align IT systems, tools, and data flows with engineering and business strategies.
Collaborate with cross-functional teams to ensure architectural consistency and integration.

Accelerating R&D:
Champion the use of model-based systems engineering (MBSE), digital twins, and simulation tools to reduce development cycles.
Integrate systems thinking into early-stage research and concept development.
Support agile and lean product development methodologies.
Communicate project milestones and outcomes to key business stakeholders.

Qualifications:
Bachelor s or Master s degree in Systems Engineering, Industrial Engineering, Computer Science, or a related field.
3+ years of experience in systems engineering, process improvement, or enterprise architecture roles.
Familiarity with Six Sigma, Lean, or other process improvement methodologies.
Software:Experience with general MS applications, Github, Azure DevOps.
Background in data analytics or digital engineering.
Excellent analytical, communication, and stakeholder engagement skills.

Preferred Qualifications:
Strong knowledge of systems engineering standards (e.g., INCOSE, ISO/IEC 15288).
Experience with tools such as SysML, Enterprise Architect, DOORS, or similar.
Certification in Systems Engineering (e.g., CSEP), Lean Six Sigma, or TOGAF.
Software: Familiar with programming languages such as Python, SQL.
Experience with tools such as DataBricks, Google BigQuery, AWS, ESRI or other GIS tools.
Experience in R&D-heavy industries such as aerospace, defense, medical devices, or advanced manufacturing.

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.


Contact Details :

VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008

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About VIVA USA INC