Chief Data Scientist

Description :

Work Location : Dallas, US

Job Category : Senior Data Scientist

Job Domain : Big Data / Advanced Analytics

Level of Experience : 8-12 years of Relevant Experience

Description :

• Experience using Statistical and Machine Learning algorithms on real data, in commercial environments. Experience in the Telecom Domain is a big plus.
• Experience with linear algebra, especially sparse systems
• 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. Optimization problems a plus
• 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.
• Should be conversant with best practices in data sciences, data mining, and software development.
• Experience with REST API

o Very Good Knowledge on one and more Statistical Tool like R / Python

o Solid hands-on experiences with Hadoop technology components such as HDFS, HBase, Cassandra, Kafa especially with Spark and Spark Streaming

o Familiar with programming concepts with C / C++ and Java.

o Very Good Knowledge on working with MS Office especially PowerPoint, Excel

• Excellent communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships.
• Personal gravitas with demonstrated ability to establish credibility with senior executive teams at large enterprise level
• Good to have experience in Pricing and Profitability Analytics.
• Lead customer interactions, while facilitating a wide range of activities.
• Influence and transform the end-to-end delivery process to maximize the value Customers gain from Analytics
• Should be able to quickly assess the areas in need of attention with a customer and propose solutions that can improve Customer's ability to succeed.
• Engage with the customer to drive improvements and scale based on past experiences.
• Personal gravitas with demonstrated ability to establish credibility with senior executive teams at large enterprise level
• Ability to handle multiple priorities and successfully execute in a dynamic environment.
• Ability to facilitate Analytics discussion and flush out the details required to enable successful delivery. Understanding of Importance of Continuous Integration / Continuous Delivery best practices and tooling.
• 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.
7 days ago