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Alert Jobs in Decatur, IL (NOW HIRING)

Codvo.ai

Data Scientist (Dallas)

Texas, IL

Facilitate the alert review sessions with the site maintenance lead - present alerts in context, gather feedback, document site-specific operating knowledge that affects interpretation * Tune the ...

CenExel

Pharmacy Technician - Data Entry

Decatur, IL · On-site

$17 - $20.50/hr

Monitor temperature of pharmacy storage areas and alert Pharmacist or site management of any temperature excursions of study drug. Assists in ordering, receiving, unpacking and storing ...

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Alert information

What are the key skills and qualifications needed to thrive as an Alert Analyst, and why are they important?

To thrive as an Alert Analyst, you need strong analytical skills, attention to detail, and a background in IT or cybersecurity, often supported by a relevant degree or certification. Familiarity with security information and event management (SIEM) systems, intrusion detection tools, and incident response protocols is typically required. Excellent problem-solving abilities, communication, and the ability to remain calm under pressure are crucial soft skills. These qualifications ensure timely identification and response to security threats, minimizing risks to organizational assets.

What are some effective strategies for managing and prioritizing alerts in a monitoring or incident response role?

In a monitoring or incident response role, professionals often face a high volume of alerts, making prioritization crucial. Effective strategies include categorizing alerts by severity and potential impact, setting up escalation protocols, and automating responses to low-priority issues when possible. Regularly tuning alert thresholds and collaborating with IT and security teams ensures that only actionable, relevant alerts are surfaced. This approach helps minimize alert fatigue and ensures critical incidents are addressed promptly, supporting a stable and secure environment.

What are Alerts in a professional context?

In a professional context, 'alerts' refer to notifications or messages that inform individuals or organizations about important events, changes, or issues that require attention. Alerts can be generated by various systems, such as IT monitoring tools, security platforms, or business applications, to notify users about potential problems, system failures, security breaches, or significant updates. The purpose of alerts is to ensure timely awareness and response, helping to prevent or mitigate negative outcomes. Effective alerting systems are crucial for maintaining operational efficiency and security in many industries.

What is the difference between Alert vs Security Guard?

AspectAlertSecurity Guard
Required credentialsBasic training, sometimes certificationsSecurity license, training, certifications
Work environmentMonitoring, surveillance, alarm responsePatrols, access control, on-site presence
Employer & industry usageSecurity companies, facilities, eventsPrivate security firms, corporate, retail
Common search intentMonitoring roles, alarm responseOn-site security, patrol duties

Alert roles typically involve monitoring systems and responding to alarms, often requiring basic training or certifications. Security Guards are on-site personnel responsible for patrols, access control, and maintaining safety. While both roles focus on security, Alerts are more about monitoring and responding remotely, whereas Security Guards provide physical security presence.

What cities near Decatur, IL are hiring for Alert jobs? Cities near Decatur, IL with the most Alert job openings:
Alert jobs near you
Infographic showing various Alert job openings in Decatur, IL as of May 2026, with employment types broken down into 43% Full Time, 43% Part Time, and 14% Contract. Highlights an 100% In-person job distribution.
Data Scientist (Dallas)

Data Scientist (Dallas)

Codvo.ai

Texas, IL

Full-time

Posted 26 days ago

Job description

Data Scientist 

 

About Us: 

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.


Role Summary 

The on-site technical presence during the pilot and Wave 1. Works directly with the customer's

maintenance team to validate alerts, tune models, and build trust in the platform's outputs.

This role requires someone who can explain machine learning predictions in maintenance

engineering language, not data science jargon.


Responsibilities 

Discovery & Baseline (Weeks 1-2)

  • Conduct the BMS protocol audit alongside the customer's controls engineer - identify available tags, data quality, polling rates, historian configuration
  • Extract and analyze the 30-day historian pull - identify operating modes, load patterns, seasonal variations, and data gaps
  • Build the baseline operating profile for each monitored equipment unit
  • Review the customer's maintenance logs - identify the 3-5 known fault events that will serve as ground truth validation
  • Map the customer's equipment taxonomy to NEIO's equipment family catalog - confirm coverage, flag gaps

Model Tuning & Validation (Weeks 3-5)

  • Monitor live anomaly scores and triage the first alerts - determine true positive vs. false positive vs. ambiguous
  • Facilitate the alert review sessions with the site maintenance lead - present alerts in context, gather feedback, document site-specific operating knowledge that affects interpretation
  • Tune the physics constraint gate to the site's operating ranges - adjust thermodynamic bounds, load-dependent thresholds, equipment-specific parameters
  • Calibrate fault classification confidence thresholds - Platt scaling, ECE measurement, reliability diagram review
  • Validate time-to-failure estimates against known maintenance history
  • Document all tuning decisions and rationale - this becomes the playbook for fleet rollout

Phase 2 (Wave 1 Sites)

  • Travel to Wave 1 sites for the 1-week discovery phase at each site
  • Conduct on-site tag mapping review with each site's controls engineer
  • Facilitate the alert review session at each Wave 1 site
  • Train the offshore Data Scientist on site-specific tuning decisions so they can handle
  • Wave 2 remotely

 

 

Expected Background 

  • 5+ years in applied data science or machine learning - predictive maintenance, anomaly detection, or industrial process optimization
  • Strong understanding of time-series analysis, classification models (XGBoost, LightGBM), and calibration techniques
  • Ability to explain model behavior to non-technical maintenance engineers - "the model flagged this because superheat is trending 3 degrees above normal for this load condition" not "the feature importance vector shows..."
  • Comfortable working on-site at a data center or industrial facility
  • Experience with HVAC, mechanical, or electrical systems is a strong advantage - someone who knows what a chiller does, what COP means, why approach temperature matters
Employment Type: FULL_TIME

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