Job Description :
Key skills: Data Science, Statistics, intent hq, neo4j/bloom/Tableau or similar visualization tools
Position: Data Scientist
Location: Dallas TX (Onsite)
Duration: 12 Months
Job Description:
4 – 6 Experience with Tableau 10.0+ (10.5 a plus) or similar visualization tools
Ability to design and deploy rich Graphical visualizations with Drill Down and Drop down menu option using Tableau.
Work with Business/SME teams team to collect dashboard and related application integration requirements.
Self-motivated with the ability to take direction and work independently
Document the dashboard requirements in a requirements doc
Apply knowledge of Tableau/Qliksense to design, develop and maintain reporting solutions (reports and dashboards) according to requirements while leveraging visualization best practices (building reports beyond cross-tabs)
Perform data analysis required to develop the dashboards and fix data issues. Develop the logical/schematic model for visualization needs
Write complex SQL queries to build performant extracts in Tableau
In-depth knowledge of Tableau out-of-the-box features, back-end architecture, configuration and building-out PoCs as needed
Very Good Knowledge on one and more Statistical Tool like R/Python
Solid hands-on experiences with Hadoop
Very Good Knowledge on working with MS Office especially PowerPoint, Excel
Experience using Statistical and Machine Learning algorithms on real data, in commercial environments. Experience in the Telecom Domain is a big plus.
Excellent and wide ranging experience in supervised and unsupervised learning. Reinforcement learning a plus.
Experienced in the use and design of logistic regression, support vector machines, ensemble trees, and neural networks.
Familiarity and experience with the standard machine learning packages, such as numpy, scipy scikit-learn, TensorFlow, keras and Theano
Deep knowledge in any of the flavors of SQL,
Experience in data munging, data cleansing etc.
Experience in feature selection, feature engineering.
Experience in the development of recommender systems.
Experience with Hadoop, HDFS, Hive, Spark and MLlib.
Candidate should be very client oriented, proactive, innovative, problem solver.
Excellent communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships.
Should be able to handle multiple projects and liaison with customer different teams to bring overall value add.
Should have strong people skills and good team management experience.
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