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Senior Data Scientist Location: US-VA-Reston Email this job to a friend
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We are looking forSenior Data Scientistfor our client inReston, VAJob Title:Senior Data ScientistJob Location:Reston, VAJob Type:ContractJob Description:Project Conception/Refinement -- Work alongside our product team to conceive, refine, and plan for new functionality/products that enhance FEPOCs products/value.Project Management -- Shepherd projects throughout their phases, manage resources, plan out delivery, expose and mitigate risks.Promote/Foster Innovation -- Identify ways our modeling, processes, interactions can be improved and work with the team to propose and implement solutions.Represent Data Science -- Work alongside our product team to conceive and bring to life new functionality/products that impact FEPOCs performance and value. Represent the data science team throughout FEPOC.Requirements:5-8 Years data science research or industry experience.Python proficiency -- Its our lingua franca, and were big Jupyter fans.MS or PhD in CS or STEM -- Ability to transform concepts into practical solutions.Machine Learning experience -- Successful implementation of ML (link removed)munication Ability -- Experience/comfort in presenting abstract concepts.Project Management Experience -- Experience leading large DS/ML projects.Healthcare Experience -- Experience with data science/ML techniques as applied to Healthcare, specifically experience on recommendation engines for members and claims anomaly detection.Required abilities and Skills:Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes.Ability to write production-ready code including documentation and unit tests.Experience with machine learning methods like k-nearest neighbors, random forests, ensemble methods and more.Proficiency in data science modeling AI, Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.Strong background in machine learning using unsupervised and supervised methods.Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems.Fluency in SQL and other programming languages.Some development experience in at least one scripting language (PHP, Python, Perl, etc.).Proven experience of using Python Machine Learning & Data Pre-processing Libraries. (Scikit Learn, Numpy, Pandas).Ability to initiate and drive projects to completion with minimal guidance.The ability to communicate the results of analyses in a clear and effective manner.Preferred:Preferred experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.Proficiency with healthcare analytics and data structures is preferred.Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and (link removed)termediate to advanced ability to create data visualizations using Python.Leading data science projects or teams (as the most technically advanced team member) or working independently on data science projects.Experience with large data sets and distributed computing (Hive/Hadoop) a plus.Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their (link removed)pacity to convert to a full time positions without a need for current or future sponsorship.
Cynet Systems
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