What is the Data Scientist responsible for? - Works with their team in support of a single business unit, providing support for solving more complex problems for their domain by developing a variety of models and statistical techniques. They also perform ad hoc statistical and data mining analysis as required. - Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. - Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to business leaders (or organizations throughout the enterprise). What are the ongoing responsibilities of this role? - Data Preparation, Gathering and Analysis Collects data from disparate systems, analyzes it, and delivers the data as intelligence that is actionable Analyzes and interprets the results of research experiments through statistical models Solves analytical problems utilizing large structured, semi-structured and un-structured data in a distributed processing environment (Required) - Statistical Analysis. Data Mining and Advanced Analytic Techniques Develops predictive, statistical, behavioral, or other models using supervised and un-supervised machine learning / statistical modeling techniques Performs ad hoc statistical and data mining analyses (Required) - Training, Research and Development Conducts research on various advanced statistical techniques to apply to appropriate analytical problems (Required) What qualifications are required to be successful in this role? - Ability to translate business challenges into analytical problems - Ability to articulate and explain statistical/machine learning techniques to business partners - Proven experience in telling stories using data - Ability to handle large datasets for building Statistical/Machine learning models which includes hands on experience working on data cleansing, manipulation and data mining. - Proven ability to work with ambiguous (not well defined) challenges - Displays curiosity to learn and learns independently - Excellent written and verbal communication skills. - Excellent organizational and planning skills - Proven ability to take initiative and work under pressure in a changing/growing environment - Ability to work individually or as a team as task requires - Able to cultivate interpersonal customer and co-worker relationships - Master's/Bachelor's degree in Statistics, Mathematics, Econometrics, Computer Science, Engineering or related disciplines, preferably from premier Institutes. - 3-5 years of experience in advanced analytics - Proven Experience in Statistical and Machine learning techniques. - Desirable to have experience in Time Series modelling as well. - Experience in SAS or R or Python. - Experience in SQL

Hyderabad

Franklin Templeton - Data Scientist 

Franklin Templeton - Data Scientist  ,Job Description for Franklin Templeton - Data Scientist  in Franklin Templeton in  Hyderabad for (3-6) years of experience. Apply Now!

Job Description for Franklin Templeton - Data Scientist  in Franklin Templeton in  Hyderabad for (3-6) years of experience. Apply Now!