Data Scientist (PhD)
Remote
Full Time
Experienced
Location: 100% Remote within the United States
JOB DESCRIPTION:
We are looking for a Data Scientist that will help us Client the information hidden in vast amounts of structured and unstructured data, and help us make smarter decisions to solve business problems. The primary focus is in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our solutions.
Responsibilities
• 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
• Define approaches for data mining
• Extending company's data with third party sources of information when needed
• Doing ad-hoc analysis and R&D involving operating heterogeneous data sets
• Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
• PhD in Data Science, Computer Science, Statistics or other related fields
• Real world experience of solving business problems using machine learning, data mining, data analysis
• Data-oriented personality
• Excellent understanding of machine learning techniques and algorithms
• Experience with common data science toolkits (such as R, Weka, NumPy, MatLab, etc.)
• Great communication skills
• Experience with data visualization tools
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
JOB DESCRIPTION:
We are looking for a Data Scientist that will help us Client the information hidden in vast amounts of structured and unstructured data, and help us make smarter decisions to solve business problems. The primary focus is in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our solutions.
Responsibilities
• 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
• Define approaches for data mining
• Extending company's data with third party sources of information when needed
• Doing ad-hoc analysis and R&D involving operating heterogeneous data sets
• Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
• PhD in Data Science, Computer Science, Statistics or other related fields
• Real world experience of solving business problems using machine learning, data mining, data analysis
• Data-oriented personality
• Excellent understanding of machine learning techniques and algorithms
• Experience with common data science toolkits (such as R, Weka, NumPy, MatLab, etc.)
• Great communication skills
• Experience with data visualization tools
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
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