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 ...
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 ...
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Computer Scientist information
See Decatur, IL salary details
$49K - $56.7K
2% of jobs
$56.7K - $64.3K
0% of jobs
$64.3K - $72K
5% of jobs
$72K - $79.7K
0% of jobs
$79.7K - $87.3K
1% of jobs
$90.3K is the 25th percentile. Wages below this are outliers.
$87.3K - $95K
42% of jobs
$95K - $102.7K
1% of jobs
$102.7K - $110.4K
1% of jobs
$110.4K - $118K
19% of jobs
$118K - $125.7K
0% of jobs
$126.5K is the 75th percentile. Wages above this are outliers.
$125.7K - $133.4K
28% of jobs
$49K
$108K
$133.4K
How much do computer scientist jobs pay per year?
What are the key skills and qualifications needed to thrive as a Computer Scientist, and why are they important?
What are the jobs of a computer scientist?
What are computer scientists?
What Does a Computer Scientist Do?
Computer scientists solve problems using technology. They write and program software, create applications for mobile devices, and develop websites. Their primary objectives are to validate and to develop mathematical models capable of computer interaction between people and other computers. They do this by running computer programs and improving computer processes and performance. Beyond working within theoretical frameworks, computer scientists can also research and focus in areas such as data structure and algorithms, information and database theory, software engineering, numerical analysis, computational complexity theory, computer graphics, programming language theory, and computer vision.
What would a computer scientist do?
How do computer scientists typically collaborate with other departments within an organization?
What jobs can you do with computer science?
Is computer science dead due to AI?
What is the difference between Computer Scientist vs Software Engineer?
| Aspect | Computer Scientist | Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS or related field; often advanced degrees | Bachelor's or higher in CS, Software Engineering, or related field |
| Work Environment | Research labs, academia, R&D departments | Tech companies, software development firms, IT departments |
| Employer & Industry Usage | Universities, research institutions, tech companies | Software development companies, startups, large corporations |
| Common Search & Comparison Intent | Understanding roles, career paths, and skills | Job requirements, responsibilities, and career growth |
Computer Scientists focus on theoretical foundations, algorithms, and research, often working in academia or R&D. Software Engineers design, develop, and maintain software applications in industry settings. While both roles require strong programming skills and a background in computer science, their work environments and primary objectives differ.

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
About Codvo
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