Data Scientist Senior
Employment Type: Full-Time
Industry: Information Technology
Senior Data Scientist Job Description We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network). We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning andor natural language processing to join our team. Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers. We partner and collaborate with universities to being best minds together. Data scientists will have opportunities to work on projects with highest priority to our business. Vital to success in this role is the ability to determine, define and deploy predictiveprescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results. Essential Duties and Responsibilities Partner with our development teams to solve problems and identify trends and opportunities to leverage data from multiple sources. Collaborate across multiple teams Passionate about working with large and complex unstructured and structured data sets. Strong communication and interpersonal skills. You should be able to work across functions and effectively present, recommend and communicate a position by demonstrating its value and tradeoffs. Comfortable conducting design, algorithm, and code reviews. Able to self-direct and succeed with minimal guidance. Minimum Qualifications Ability to obtain a US DoD Security Clearance Bachelor's degree in a computer, engineering or quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). Programming experience in one or more of the following R, MATLAB, C, C , Java, Python, Scala Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence). 5 years of relevant work experience in data analysis or related field. (e.g., statistician, data analyst, data scientist) Experience with statistical software (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., SQL). Preferred qualifications Master's or Ph.D. in a quantitative discipline. Experience with machine learning related open source libraries including, but not limited to Hadoop, Spark, SciKit-Learn, TensorFlow, etc. Contribution to research communities andor efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.
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