Job title: Data Scientist- JD _ HARI

Company: Arminus

Job description: Job Description : Job Description: Please source the profiles as per below JD . Location will be Mumbai / Bengaluru . Work timings will be 2 to 11 pm . Exp – 6 to 9 Yrs CTC – 24LPA NP – 30 Days. . Experience in Data science supervised and unsupe

Job Description : Job Description: Please source the profiles as per below JD . Location will be Mumbai / Bengaluru . Work timings will be 2 to 11 pm . Exp – 6 to 9 Yrs CTC – 24LPA NP – 30 Days. . Experience in Data science supervised and unsupervised learning including Advanced pattern recognition and predictive modeling experience . Experience using statistical computer languages like R,Python etc. to manipulate data and draw insights from large data sets. . Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. . Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. . Experience in Linear regression, Logistic regression, Decisiontree, RandomForest,SupportVector Machine,K-Means,Na ve Bayes etc . Proficiency with scientific Python libraries, scikit-learn, Tensor Flow, keras or similar . Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. . Deep knowledge of math, probability, statistics and algorithms . Solid understanding of writing code that is readable and well structured . Sl No Submission date Month Delivery SPOC Recruiter SPOC Account Name Project Skill Category Skill Name RHID Name Of Candidate Mobile Email Id Total Experience (In Years) Relevant Experience (In Years) Current Company Current CTC (In LPA) Expected CTC (In LPA) Notice period in days Notice Period Bucket Current location Preferred location Source Source Details L1 Scheduled Date Scheduled Time L1 Panel Name interview status L2 / DM Panel Name Recruiter Handling Current Status Remarks Communication Key Skills: Please source the profiles as per below JD . Location will be Mumbai / Bengaluru . Work timings will be 2 to 11 pm . Exp – 6 to 9 Yrs CTC – 24LPA NP – 30 Days. . Experience in Data science supervised and unsupervised learning including Advanced pattern recognition and predictive modeling experience . Experience using statistical computer languages like R,Python etc. to manipulate data and draw insights from large data sets. . Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. . Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. . Experience in Linear regression, Logistic regression, Decisiontree, RandomForest,SupportVector Machine,K-Means,Na ve Bayes etc . Proficiency with scientific Python libraries, scikit-learn, Tensor Flow, keras or similar . Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. . Deep knowledge of math, probability, statistics and algorithms . Solid understanding of writing code that is readable and well structured . Sl No Submission date Month Delivery SPOC Recruiter SPOC Account Name Project Skill Category Skill Name RHID Name Of Candidate Mobile Email Id Total Experience (In Years) Relevant Experience (In Years) Current Company Current CTC (In LPA) Expected CTC (In LPA) Notice period in days Notice Period Bucket Current location Preferred location Source Source Details L1 Scheduled Date Scheduled Time L1 Panel Name interview status L2 / DM Panel Name Recruiter Handling Current Status Remarks Communication

Expected salary:

Location: Mumbai, Maharashtra – Bangalore, Karnataka

Job date: Sun, 28 Aug 2022 22:47:15 GMT

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