ASCENDING
Data Scientist (PhD)
ASCENDING, Washington, District of Columbia, us, 20022
Location: 100% Remote within the United States
JOB DESCRIPTION:
We are looking for a Data Scientist that will help us uncover 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 on applying data mining techniques, performing 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 Defining approaches for data mining Extending the company's data with third-party sources of information when needed Conducting ad-hoc analysis and R&D involving operating heterogeneous data sets Creating automated anomaly detection systems and constant tracking of their performance
Skills and Qualifications PhD in Data Science, Computer Science, Statistics, or other related fields Real-world experience in solving business problems using machine learning, data mining, and 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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JOB DESCRIPTION:
We are looking for a Data Scientist that will help us uncover 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 on applying data mining techniques, performing 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 Defining approaches for data mining Extending the company's data with third-party sources of information when needed Conducting ad-hoc analysis and R&D involving operating heterogeneous data sets Creating automated anomaly detection systems and constant tracking of their performance
Skills and Qualifications PhD in Data Science, Computer Science, Statistics, or other related fields Real-world experience in solving business problems using machine learning, data mining, and 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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