Data Scientist

Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions

Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem

Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions

Ensure operational and business metric health by monitoring production decision points

Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes

Communicate results of analyses to business partners and executives

Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team

Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Bachelor or higher program in Computer Science, Mathematics, Machine Learning, Natural Language Processing, Deep Learning or a related field

2+ years of programming experience in Python, Java, Scala, or C++

Practical experience with and theoretical understanding of algorithms for classification regression, clustering, and anomaly detection

Familiarity with database modeling and data warehousing principles and SQL.

Familiarity with Big Data tools like Spark, Hive etc.

1+ years of experience with NLP toolkits such as NLTK, OpenNLP, Stanford CoreNLP etc.

1+ years of experience with open source machine learning toolkits: tensorflow, keras, theano, CNTK, scikit-learn, pandas, numpy, libsvm

Huge plus with experience in NLP and chatbots

2+ years of hands-on cloud platform experience: AWS or Azure

Strong knowledge in general software design, data structures, and relational database

Strong written and oral communication skills

Strong analytical skills, data driven mindset