Data Management Consultant

Arcadis

Data Management Consultant developing predictive models and data architectures for the water utility industry at Arcadis. Collaborating with engineers, scientists, and management consultants on technical IT projects.

Posted 7/29/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $60,000 - $90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating machine-learning models, data pipelines, and analytics platforms while effectively engaging clients and contributing to data architecture. Proficient in data analysis and automation to enhance team productivity and operational efficiency.

Highest-signal resume keywords

Machine-Learning Model DevelopmentData Pipeline ValidationGISSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine-LearningData AnalysisData ArchitectureAutomation DevelopmentData WarehousingData Security ManagementAnalytics ImplementationDashboard DesignClient Engagement StrategyTechnical Reporting

Soft Skills

Team CollaborationClient SupportCommunication

Tools & Technologies

PowerBIR

Industry Keywords

Operational RisksUtility DatasetsData Share DesignIntegration Efforts

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and validate machine‑learning models and data pipelines to predict service‑line materials and other operational risks
Participate in pursuit plans and develop client engagement strategies
Contribute to data warehouse design, security profile management, data share design and other data architecture applications
Develop integration efforts for existing enterprise systems
Perform data analyses on large utility datasets
Increase productivity of the team by developing automated applications
Perform services on-site or off-site to support client staff
Develop technical reports and presentations for projects
Design and implement analytics and dashboard platforms

Requirements

What you’ll need

3 years of experience with GIS, SQL, Python, R, PowerBI
B.S. in Data Science, Computer Science, Engineering, Management Information Systems, Statistics, or related discipline
M.S. or Ph.D. in Data Science, Computer Science, Engineering, Management Information Systems, Statistics, or related discipline (preferred)

Benefits

Comp & perks

medical
dental
vision
EAP
401K
STD
LTD
AD&D
life insurance
paid parental leave
reward & recognition program
optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement
nine paid holidays
15 days PTO that accrue per year