RESPONSIBILITIES

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  Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users.
  


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  Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
  


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  Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
  


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  Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
  


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  Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
  

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  Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields.
  


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  Master’s degree in data science, applied mathematics, or bioinformatics preferred.
  


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  Minimum 6 years relevant work experience (if Bachelor’s degree) or minimum 3 years relevant work experience (if Master’s degree) with a proven track record in driving value in a commercial setting using data science skills.
  


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  In-depth knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models.
  


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  Proficiency in R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other statistical tools.
  


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  Minimum 2 years experience working in a data science or machine learning environment.
  


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  In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks.
  


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  Experience in software development environment, Agile, and code management/versioning (e.g. git).
  


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  Strong EDA skills and experience/knowledge.
  


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  Ability to understand complex and ambiguous business needs and applying the right tools and approaches.
  


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  Collaborative team player.
  


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  Excellent communication skills, both written and verbal.
  


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  Experience developing and testing machine learning and/or statistical projects.
  


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  Strong presentation skills. Ability to present statistical results to lay persons in an easy to understand way.
  


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  We are looking for all levels of data science experience, jr through sr.