Senior Data Scientist

Matlen Silver
Matlen Silver

Job Overview

Contributes to the strategic vision and integrates a broad range of ideas regarding setting the strategy around gathering, organizing, and extracting qualitative and quantitative relationships and trends from large amounts of data. Recognized across the organization for organizing and developing data warehouses for optimal decision support. Leads the design, development and implementation of complex data management, storage applications, often using new technologies. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criterion for obtaining results. Work leadership may be provided by assigning work and resolving problems. Requires a Bachelors degree or advanced degree and or equivalent experience in related ISIT discipline. Excellent written and verbal communication skills coupled with ability to translate business strategy into achievable tactics. Typically over 10 years of related IT experience. LOB Job Description Workspace Services Capital team is looking for a hands-on Senior Data Scientist II to undertake multiple advanced analytics initiatives like Forecasting, Predictions etc that will enable us deliver Operational Excellence and provide actionable insights to business users. The Data Scientist is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating quantitative and qualitative models, data mining, causal inferences, predictions, optimizations, and recommendations for Treasury team. This position is for a self-starter with leadership qualities, responsible for formulating and managing projects, as well as developing data science models, and working with key business, data and technology leaders to establish roadmaps and deliver high value analytic projects. Position requires strong command of various data mining and advanced analytical techniques to produce easy to use analytical solutions. Required Skills bull 2 – 5 years of professional experience as a data scientist executing complex analytical projects bull 2 + years of text analytics experience bull Strong programming experience with Python, Tensorflow, Scikit-learn, CUDA and pandas bull Knowledge of Big Data Architectures and Cloud computing bull Experience with HadoopHive, Neo4J, Apache Spark, Kafka and MongoDB is a plus bull Experience with data visualization tools like Tableau, Kibana, etc. bull Knowledge of machine-learning techniques, classifiers and statistical methods bull Hands-on experience with natural language processing techniques including Sentiment analysis, Word embeddings bull Experience with Speech-to-Text is a plus bull Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline bull Demonstrated success in executing high value, enterprise projects with clear articulation of benefits, costs and risk bull Superb communication, coaching and management skills across multiple business stakeholders and IT as well as external partnersSenior Data Scientist 1

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