- Use Data Science and Machine Learning to increase revenue, reduce costs and increase customer satisfaction. - Collaborate with product design and engineering to develop an understanding of needs - Understand where the required data resides and work on ways to extract the relevant data. - Research and devise statistical and machine learning models. - Communicate insights to stakeholders in an automated fashion to enable them to take business decisions. - Deploy models in production to automate various processes. - Bachelor's degree in Data Science, Computer Science, Statistics, Applied mathematics, or related discipline - 7+ years experience in data science - Proficiency with Machine Learning platforms and techniques, data mining, mathematics, and statistical analysis - Predictive modelling experience - Experience with Python, R, Excel, Tableau, SQL - Comfortable working in a dynamic, research-oriented group with several ongoing concurrent projects - 2+ years of project management experience Competencies: - Defining: Can break large fuzzy problems, into small tractable pieces - Troubleshooting: Can troubleshoot problems in entire product and dependent systems - Solutioning: Can explore thoroughly and choose between a wide variety of solutions - Coding Principles: Can create libraries, tools and frameworks. Can do advanced data science coding. - Coding Quality: Can identify issues/pitfalls, E2E tests coverage. Brings in security compliance. - Programming Language Proficiency: Proficiency in multiple relevant languages. Knowledge of internal aspects including run-time environments and complex system libraries/patterns - Project Management: Can independently plan out a project, accounting for dependencies, iterations, feature creeps and priorities. Effective and timely communication to all stakeholders with accurate estimates and status. - Execution: Can work on multiple tracks in the ownership area. Complete ownership of operationalization of product/module including hardware planning, changes to deployment architecture and configs. Works with stakeholders to define success criteria and quality metrics. - Responsiveness: Cognizant of product/business priorities and accounts for this in the turnaround times. Can step up when needed, navigating around conflicting priorities. - Designing: Defining contracts between components, large standalone system/end to end service design - Analysis: Deep impact analysis, data analysis, migration plan - Non Functional Attributes: Accountable for all performance, scalability and availability. Understands recoverability - Data driven intelligence: Evaluate existing research papers and apply algorithms to build data driven systems - Tool set and technologies: Expertise in one or more of the available tools/tech (e.g. Data Tools, IR and ML tools). Contribution to selection of tools/tech for continuous improvement. - Explore and experiment: Innovates and experiments to solve data oriented problems leveraging domain expertise.

Gurgaon/Gurugram

CogniTensor - Senior Data Scientist 

CogniTensor - Senior Data Scientist  ,Job Description for CogniTensor - Senior Data Scientist  in CHT Sapiense in  Gurgaon/Gurugram for (7-10) years of experience. Apply Now!

Job Description for CogniTensor - Senior Data Scientist  in CHT Sapiense in  Gurgaon/Gurugram for (7-10) years of experience. Apply Now!