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Qualifications: Skills – Advanced Excel, Proficient in SQL, R or Python Our most successful candidates will have: Be familiar with concepts like Regression, Decision Trees, Support Vector Machines, Neural networks, Time Series Forecasting, Clustering Have...
DATA SCIENTIST- (4 positions ) Job Responsibility Job Purpose: We are looking for DATA SCIENTIST with 5-8 yrs of experience as a Statistician / Predictive Analyst /Data Scientist with experience in strategic and predictive...
Responsibilities • Develop machine learning models in products and solutions involving IoT, Big Data, Cloud and microservices. • The products and solutions are being designed using artificial intelligence and analytics into problems involving management...
DESCRIPTION Morgan Stanley Research Technology is looking for a data scientist to help with conducting advanced data analysis and develop Machine Learning, Natural Language Processing, and Artificial Intelligence models using various AI and Big...
About the Team As part of the Customer experience and Solutions (CXS) team, we are based at SAP Labs India, Bangalore, dedicated to the research and development of Software as a Service in the...
Homoscedasticity in Regression Analysis, The Goldfeld–Quandt test checks for homoscedasticity in regression studies in statistics. This is accomplished by separating a dataset into two portions or groups, which is why the test is also...
What you’ll do: You will work closely with internal Flipkart Teams to identify, define, collect, and track key business metrics for products or business processes. Pull data required to conduct business analysis, build reports,...
The Chow test is used to compare the coefficients of two distinct regression models on two separate datasets. This test is commonly used in econometrics using time series data to evaluate if the data...
Rolling Correlation in R, Correlations between two-time series on a rolling window are known as rolling correlations. Correlations in time series are extremely valuable since they may be used to model and forecast if...
Job Responsibilities: Data Science/Data Analysis Undertake pre-processing of structured and unstructured data Cleaning and validating the data to ensure accuracy, completeness, and uniformity Analyze large amounts of data to discover trends...