Essential Duties and Responsibilities - Problem solver with curious mindset with a high execution bias having relevant work experience in Data Science in retail banking domain. - Data scientist with hands-on expertise in building and executing analytics modules on various technology platforms including big data technology platforms. - Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. - Own and complete work streams from business levers, domain know-how, and bias for execution and delivery. - Be able to compile results from various work streams and be able to make coherent presentations to internal and external stakeholders. - Experience in building or managing data products, high performer and problem solver. - Applying best practices to manage solution implementations including code design and reviews - Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver the proposed solution Experience - MS or PhD in Computer Science, Engineering, Mathematics, Statistics or a related field with solid exposure to Machine - Learning and/or Advanced Analytics with 7+ years of experience in predictive analytics and exposure to big data analytics. - MBAs with relevant data science skills will also be considered. - Strong understanding of the financial domain. Desired domain expertise in credit Risk, telecom analytics, retail analytics. - Strong coding skills in Python is a must, and in other languages like R and SQL, Hive Sql - Hands-on experience with Python libraries - NumPy, Pandas, sklearn - Hands-on knowledge of working with scalable platforms for processing large and/or complex multi-source datasets using Hive, Hadoop or Spark (PySpark) is a plus. - Comfortable with working on Unix, Windows, and databases like Elastic Search and MongoDB - Demonstrated the use of data optimization (Linear/Non-linear) to solve constrained business problems Must have experience - Sound knowledge of machine learning concepts. Illustrative machine learning methodologies are: - Bagging, Boosting, Regularization, Online Learning, One Hot Encoder etc. - Statistical modeling - CHAID, CART, Regressions, SVM, SVD etc. - Experience on the text analytics stack - NLP, NLU, LDA, TF-IDF etc. - Ability to communicate analytics-based insights to business stakeholders. Independent problem solver comfortable to work in an ambiguous solution space. Strong PPT Skills, Excel - Demonstrated experience in delivering analytics projects in high-pressure environments

Mumbai

Navi Mumbai

Experian - Senior Data Scientist 

Experian - Senior Data Scientist  ,Job Description for Experian - Senior Data Scientist  in Experian India Ltd in  Mumbai Navi Mumbai for (7-12) years of experience. Apply Now!

Job Description for Experian - Senior Data Scientist  in Experian India Ltd in  Mumbai Navi Mumbai for (7-12) years of experience. Apply Now!