Data Scientist

V15P1Talonnn; San Jose (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

V15P1Talonnn in California, San Jose, is seeking a Data Scientist to help uncover insights from large datasets and drive smarter product decisions. You will apply data mining techniques, perform statistical analyses, and build predictive models integrated with our offerings.

You will collaborate with cross-functional teams to extend data sources, improve data collection, and develop anomaly detection systems, presenting results clearly to stakeholders.

Qualifications

• Experience in applying data mining techniques and statistical analysis.
• Ability to build high quality prediction systems integrated with products.
• Experience with ad-hoc analysis and presenting results clearly.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques.
• Extending company data with third party sources of information when needed.
• Enhancing data collection procedures to include information relevant for 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

Data mining

Statistical analysis

Machine learning

Python

Tools

Python

R

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

Consultant Management California, San Jose, CA, US

30+ days ago Requisition ID: 2013

Job Description

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. {{Depending on your needs, you can write very specific requirements here, like: “automate scoring using machine learning techniques”, “build recommendation systems”, “improve and extend the features used by our existing classifier”, “develop internal A/B testing procedures”, “build system for automated fraud detection”, etc.}}

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