Data Scientist

V15P1Talonnn; Panama (MO); On-site; USD 54,000 - 537,000; Full time

Job summary

V15P1Talonnn is seeking a Data Scientist in Panama, MO, US to uncover insights from large data sets and build high-quality predictive systems integrated with products. The role focuses on data mining, statistical analysis, and ML-driven decision support.

Responsibilities include feature selection, data enrichment, data integrity, and presenting results clearly while developing anomaly detection systems for ongoing performance monitoring.

Qualifications

• Experience applying data mining techniques and statistical analysis.
• Strong foundation in building predictive models.
• Ability to integrate analytics into products.

Responsibilities

• Select features and build classifiers using ML techniques.
• Extend data with third party information when needed.
• Improve data collection for analytics.
• Cleanse and verify data integrity for analysis.
• Conduct ad-hoc analyses and present results clearly.
• Create automated anomaly detection and monitor performance.

Skills

Data mining

Statistical analysis

Machine learning

Prediction systems

Tools

Python

R

SQL

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Scientist

Management Panama, MO, US

Salary Range: CA$56.00 To CA$555.00 Hourly

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Extending company's data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance