Machine learning is a core part of the Natero platform, driving predictive alerts to customer success managers to help them focus on the right accounts at the right time.
As a machine learning engineer, your primary responsibilities would be the research, prototyping and productization of new machine learning models to tackle the challenges of behavioral prediction. This position is a mix of data science with system design and implementation, and a great fit for someone looking to not only work with data, but build the systems for processing and analyzing it.
KEYWORDS:
Java, Python, SQL, R, Machine Learning, Data Science, Statistics
REQUIREMENTS:
MS or PhD with 3+ years of experience in Machine Learning, Statistics, Applied Mathematics or related field
Strong understanding of theoretical and practical aspects of various machine learning techniques: classification, regression, clustering, etc.
Strong system design skills and experience with distributed systems.
Ability to conduct independent research and turn ideas into production code.
Familiarity with various statistical packages: R, scikit-learn etc.
Excellent programming skills in python, Java or C/C++
Proficiency in SQL.
Experience working with time-series dataset a plus.
Machine learning is a core part of the Natero platform, driving predictive alerts to customer success managers to help them focus on the right accounts at the right time.
As a machine learning engineer, your primary responsibilities would be the research, prototyping and productization of new machine learning models to tackle the challenges of behavioral prediction. This position is a mix of data science with system design and implementation, and a great fit for someone looking to not only work with data, but build the systems for processing and analyzing it.
KEYWORDS: Java, Python, SQL, R, Machine Learning, Data Science, Statistics
REQUIREMENTS: MS or PhD with 3+ years of experience in Machine Learning, Statistics, Applied Mathematics or related field Strong understanding of theoretical and practical aspects of various machine learning techniques: classification, regression, clustering, etc. Strong system design skills and experience with distributed systems. Ability to conduct independent research and turn ideas into production code. Familiarity with various statistical packages: R, scikit-learn etc. Excellent programming skills in python, Java or C/C++ Proficiency in SQL. Experience working with time-series dataset a plus.