Careers

Join Our Team

Currently, we have openings in technology for experts in Java, R, Python, .JSP, D3, Ruby on Rails, Machine Learning, Information Retrieval, Natural Language Processing, Drools and other rules-based engines, Spark, Hadoop, JBPM, and HDFS. In addition, we are recruiting domain experts in the following verticals: Retail, Healthcare, Banking and Finance, Manufacturing and Maintenance, and Energy and Utilities

Scry Analytics brings together technologists and domain experts to create groups that work on challenging problems. If you are hard-working, a quick learner, and a strong believer in meritocracy, please apply to: contactus@scryanalytics.com

Open Positions :

Technology
TITLE : Data Scientist
WORKSITE : 2635 North First Street, Suite 200, San Jose, CA 95134
DUTIES : Design and develop Predictive Analytics and Prescriptive Analytics architecture and features for artificial intelligence software solutions, including developing machine learning and statistical models to perform data analysis. Duties will include the following: Research, design and develop algorithms and techniques to perform data manipulation and transformation; build generative and discriminative models to perform clustering, classification, regression, and recommendation systems; design and build custom machine learning models; build and implement machine learning algorithms to plan, create, coordinate, and deploy business information solutions; gather business requirements and technical specifications for developing analytics solutions; develop artificial intelligence and machine learning algorithms; custom design and implement various techniques in machine learning such as support vector machines, neural networks, genetic algorithms, principal component analysis, cluster analysis, k-means, decision trees, random forests, regression analysis, Bayesian analysis, Naïve Bayes, and deep learning; analyze large, complex, multi-dimensional data sets; develop analytic solutions using R, Python, Scikit-learn, SQL and similar statistical tools and frameworks; and utilize Deep Learning neural networks including RNN, CNN, LSTM, and Autoencoder to predict the behavior and performance of businesses.
REQUIREMENTS : Master’s degree (or equivalent) in Computer Science, Applied Mathematics, Statistics, Analytics or a related field such as Computer Science and Engineering. Experience with (or knowledge* of) algorithm design and development; software architecture development; data engineering; statistical data analysis; Artificial Intelligence (AI) and deep learning techniques; feature synthesis, engineering, and hyper-parameter tuning; Machine Learning, including Bayesian modeling, multivariate and logistic regression, support vector machines, cluster analysis, decision and regression trees, random forest, neural networks and ensemble methods; analyzing large, complex, multi-dimensional data sets and developing analytic solutions, and experience in predictive analytics using R, Python, Scikit-learn, and SQL statistical tools.

*As obtained through university graduate-level coursework.

Please send your resume to : contactus@scryanalytics.com

TITLE : Data Engineer
WORKSITE : 2635 North First Street, Suite 200, San Jose, CA 95134
DUTIES : Design and develop computer applications software, which includes assembling large, complex data sets that meet functional / non-functional business requirements for artificial intelligence software solutions; and performing complex data and statistical analysis. Duties will include: designing and customizing software with the aim of optimizing operational efficiency, which includes building analytics tools to optimize key business performance metrics; analyze user needs, which includes building the infrastructure required for optimal extraction, transformation, and loading of data using SQL and Cloud Computing ‘big data’ technologies; identifying, designing, and implementing internal process improvements, such as re-designing infrastructure for greater scalability; creating optimal data pipeline architecture; creating data tools for analytics and data scientist team members that assist them in building and optimizing our product; keeping our data separated and secure across national boundaries through multiple data centers and Cloud Computing regions; working with stakeholders to strive for greater functionality in our data systems; and utilizing knowledge of Optical Character Recognition, number corrections, object detection and counting, neural networks, data and statistical analysis, and machine learning methods to perform the duties described above.
REQUIREMENTS : Master’s degree (or equivalent*) in Computer Science, Data Analytics, Electrical Engineering or a related field such as Computer Science & Information Systems or Control Science & Engineering; and two (2) years of experience in the job offered or as an Engineer; Software Engineer; Applications Engineer; Data Engineering Intern; or as a Research Assistant or Teaching Assistant. Also requires two (2) years of experience with designing and developing computer software applications using C/C++, Object-oriented design and programming; Python; algorithm design and development; neural network frameworks; Linux Operating System; data engineering; statistical data analysis; Machine Learning, including Bayesian modeling, multivariate and logistic regression, support vector machines, cluster analysis, decision and regression trees, random forest, neural networks and ensemble methods; and analyzing large, complex, multi-dimensional data sets and developing analytic solutions.

*As determined by properly evaluated credentials. Scry Analytics, Inc. will accept any other suitable combination of education, training or experience.

Please send your resume to : contactus@scryanalytics.com

Domain Expert

Contact us for more information: contactus@scryanalytics.com