Description

Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor s Best Places to Work Seeking an astute individual who has a strong statistical/analytical foundation with the additional ability to be hands-on with the broader team as part of the deploy/operate cycle. Knowledge of industry best practices, with the ability to implement them would be a bonus. What you ll do: Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods tools 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 Performing ad-hoc analysis and presenting results in a clear manner What we are looking for: Excellent understanding of machine learning techniques and algorithms, such as K means clustering, Naive Bayes etc Experience with common data science toolkits, such as Python, R, Weka, NumPy, MatLab, etc Excellence in at least one of these is required Experience in Supply Chain concepts Experience in Statistical Analysis, Operations Research concepts - Integer/ Linear/ Stochastic programming Experience with data visualization tools, such as D3 js Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra Good applied statistics skills, such as distributions, statistical testing, regression, etc Good scripting and programming skills Data-oriented personality Bachelors or Masters in Computer Science w/Data Science specialty Experience preferred: 5-10 yrs

Role and Responsibilities

• Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor s Best Places to Work Seeking an astute individual who has a strong statistical/analytical foundation with the additional ability to be hands-on with the broader team as part of the deploy/operate cycle. Knowledge of industry best practices, with the ability to implement them would be a bonus. What you ll do: Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods tools 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 Performing ad-hoc analysis and presenting results in a clear manner What we are looking for: Excellent understanding of machine learning techniques and algorithms, such as K means clustering, Naive Bayes etc Experience with common data science toolkits, such as Python, R, Weka, NumPy, MatLab, etc Excellence in at least one of these is required Experience in Supply Chain concepts Experience in Statistical Analysis, Operations Research concepts - Integer/ Linear/ Stochastic programming Experience with data visualization tools, such as D3 js Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra Good applied statistics skills, such as distributions, statistical testing, regression, etc Good scripting and programming skills Data-oriented personality Bachelors or Masters in Computer Science w/Data Science specialty Experience preferred: 5-10 yrs