Data Science with Python - Noida.

6.00 to 8.00 Years Noida 07 Jul, 2019

Xavient Software Solutions India Pvt Ltd

Job Location	Noida
Education	Xavient Information Systems (XIS) is a software services organization born and brought up in the new economy. At Xavient, we strive to maintain a fulfilling and rewarding work environment which we believe is a catalyst for great achievements. Xavient is a young, aggressive, and extremely competent team of fiercely talented software architects, engineers, project managers and functional & domain experts, that is re-defining the rules of the consulting space. We have won fortune 500 clients and multi million dollar projects by our commitment to streamlined, iterative and collaborative delivery processes. Xavient has a strong experience and expertise in Hi-Tech Manufacturing, Retail, Broadcasting and Finance domains with deep expertise on horizontal practices like Enterprise Application Integration, Business Intelligence, Supply Chain Management (SCM), Customer Relationship Management (CRM) and eBusiness. At Xavient, we have a passionate commitment to iterative and agile development methodologies. These services are delivered on the foundation of a proven global delivery model, robust world-class quality processes and quality standards, a global skill base, centers of excellence and a state of the art global software delivery center.
Salary	Not Disclosed by Recruiter
Industry	IT-Software, Software Services
Functional Area	IT Software - Application Programming, Maintenance
EmploymentType	Full-time

Job Description

Xavient Software Solutions is urgently seeking Data Scientist with Python exp. for its NOIDA location. Candidates joining in short notice will be highly preferred. Exp . : 6-8 Yrs.Description:Predictive Modeling : K-Nearest Neighbour, Random Forests, Decision Tree Learning, Ordinary Least Squares, Generalized Linear Model, Logistic Regression, Naive Bayes, Classification and Regression TreesStatistical Machine Learning: Regression Analysis, Correlation, Hypothesis Test, Pruning, Latent Discriminant Analysis, Principal Component Analysis, Bias-Variance Trade-Off, Regularization, Cluster Analysis, Ensemble Learning, Time-Series Analysis, and AprioriModel Evaluation and Selection : Area under ROC, Root Mean Squared Error, Cross Validation, Log Loss, Confusion Matrix, R-SquaredExploratory Data Analysis : Factor Analysis, Univariate and Bivariate Analysis, Imputation, Outliers treatment, Feature Extraction and ScalingLanguages and Others : R, Python, C++, Web Scraping, scikit-learn, NLTK, Pandas etc. Apply state-of-the-art NLP techniques, to understand a large amount of unstructured data from our users, products etc. Create language models from text data. These language models draw heavily from statistical, deep learning, machine learning as well as rule based research in recent times around building taggers, NER, entity linking, relation extraction, parsers, knowledge graph based dictionaries etc. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models. Experience on dealing with large-scale unstructured text data. Work closely with product teams to implement algorithms that power user and developer-facing products. Develop Interfaces to support analytics on top of integrated data. Implement proofs of concept and prototypes to evangelize the ideas. Always keep abreast with the latest developments in our areas of research. Disseminate the knowledge by conducting technical talks and workshops. Strong knowledge of information retrieval methods, including LTR frameworks and ML ranking models Practical experience with enterprise search platforms (e.g. Lucene/SOLR, ES).

Keyskills :
data science python machine learn Linear Regression SGD

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