Autokartz Internet Pvt. Ltd.
Location : Delhi
Exp. 3 – 4 years
Education: Post graduate
Our team is looking for a data expert to stand-up our fundamental capabilities to source, automate, and curate data with quality data access. Eventually you will help us build-out our Data Science function and mentor 3-5 additional associates.
Leverage structured and unstructured data to solve tactical and strategic problems Develop deep learning models to create intelligent software applications used by Investment Operations teams Create pattern recognition algorithms by identifying and integrating internal and external sources of information using analytical tools and techniques Perform complex data manipulation and analytics, while working with business functions to identify and to respond to complex technical and business problems Interpret and communicate analytic results to analytical and non-analytical business partners and senior managers Preferred
Skills Python SQL Software Hiring Industry IT – Software Selection Criteria Masters degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required 3-4 years directly applicable experience leveraging data to drive significant business impact Creating new methodologies in the intersection of applied math, computer science, and statistics Proficiency in translating business problems into concrete mathematical framework Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to dis aggregate issues, identify root causes and recommend solutions Data visualization and presentation Must have experience on :Programming Quantitative analysis Machine learning, deep learning, natural language processing Data mining algorithms Data analysis languages; Python, R Cloud analytics platforms; Microsoft Azure, AWS, Google Cloud Distributed Systems Query languages; Spark, Hive, Pig SQL, No SQL Tools and Libraries; Git, Keras, Scikit-Learn, The Company provides simple yet scalable cutting-edge solutions, using Artificial intelligence and Machine Learning, to automate customer service and reduce human dependency
Only registered candidates can apply