Candidate must have strong experience Stats Modeling/Data science in 2 or more industry
Modeling: Experience in one or more of analytical tools such as Python, R, SAS etc
Education: Master s Economics, Statistics, Computer Science, Engineering from tier 1 institutes
Combination of Stats Modeling + Machine Learning is highly preferred.
Must Have :Overall: 1. Delivey Perspective & Core Statistical / ML Programming Experience 2. Clarity of Interconnections between Tech landscaples & Science from ETL to Modelling To Visualization 3. Exposure to RFP / client requirement handling 4. Hardcore Data Science programming experience in at least 3 tools 5. Statistical presentations with ease 6. Adherence to Data Science SOP & Performance Monitoring 7. Lateral Thinking of Applicability along multiple domains Data : 1. Contextual Understanding - ETL / Data Manipulation / Visualization 2. IOT / Cloud / Big Data Know How 3. Model Management & Production Perspective for Predictive / NLP & Cognitive Sciences 4. Tool applicability & Evaluation to Delivery Education Qualification: 1. Masters in Statistics / Applied Mathematics / Economics / Econometrics & allied areas 2. M. Sc. Applied Statistics - Actuarials/ MSc from IITs 3. Relevant Certifications- SAS/Course Era (Good to have) Work Experience: 1. 2-5 years of pure data science experience 2. Hard Core Data Science Programming & Delivery using at least 3 languages 3. SAS / R/ Python / Open CV / Google TF etc. Good to Have: Interpersonal Skills: 1. Team Motivation 2. Knowledge Sharing 3. IP perspective 4. Business Interpretation Implementation: 1. Harvesting Ability 2. Use Cases Interconnectivity 3. View to Scalability 4. Documentation & Handholding
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Employement Category:
Employement Type: Full time Industry: IT - Software Role Category: General / Other Software Functional Area: Not Applicable Role/Responsibilies: Data Scientist