Data Scientist_june15

V15P1Talonnn; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Not disclosed company in Palo Alto is seeking a data scientist to uncover information in large data sets and help build smarter products. The role focuses on applying data mining techniques, statistical analysis, and creating high-quality prediction systems integrated with our products.

You will select features, build classifiers, extend data with third-party sources, improve data collection, cleanse data, perform ad-hoc analyses, and present findings clearly while developing automated anomaly

Qualifications

• Experience applying data mining techniques.
• Strong statistical analysis skills.
• Ability to build high-quality prediction systems integrated with 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

Skills

Machine learning

Data mining

Statistical analysis

Predictive modeling

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_june15

Management Palo Alto, CA, US

30+ days ago Requisition ID: 5250820

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