Data Scientist Engineer – Job description

We are looking for a Data Scientist who will help add AI/ML features to our cloud warehouse management system product based upon analysis of domain data sets. The candidate  should be well versed at using large data sets to find opportunities for optimizing the product. They must be capable of coming up with different approaches, creating various models and and test and compare their effectiveness. They must have good experience using different data mining/data analysis methods, using a variety of data tools, using/creating algorithms and creating/running simulations. They must create prototypes and work with the development scrum teams to incorporate them into the product.

Responsibilities for Data Scientist Engineer

Analyze data from relevant databases to drive optimization and improvement of the product using ML methodologies.
Develop custom ML data models and algorithms to apply to data sets.
Optimize algorithms used in the WMS product using Machine Learning.
Develop a model testing framework and test model quality.
Work with development teams to implement ML models and see how they perform and integrate into the product.

Qualifications for Data Scientist

Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (Python, R etc) to manipulate data and draw insights from large data sets.
Software development experience in multiple languages such as Python, Java etc.
Experience using web services, database query languages
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
We’re looking for someone with 7-9 years of experience manipulating data sets and building statistical models, has a Bachelors or preferably a Master’s degree in Computer Science, Statistics, Mathematics or another quantitative field, and is familiar with related tools
Experience creating and using advanced machine learning algorithms and statistics\: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience with distributed data/computing tools\: Map/Reduce, Hadoop, Hive, Spark