- 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 - 3+ 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 Competencies: - Defining: Can translate fuzzy problem in assigned area into formalized structure - Troubleshooting: Can troubleshoot unseen problems in assigned area - Solutioning: Can independently implement the solution - Coding Principles: Extensability, Abstraction, Separation of concerns, Chooses right Data Science/Machine learning techniques. - Coding Quality: Performant, Integration tests coverage, implements security requirements. - Programming Language Proficiency: Usage of design patterns and knowledge of functional aspects. - Project Management: Can break down tasks, identify dependencies and provide accurate effort estimates that feed into the larger plan. Proactively resolve dependencies and communicate around progress and blockers. - Execution: Responsible for timely completion of assigned components including integration and deployment to appropriate environments. Complete ownership of quality including iterations with stakeholders to meet the desired objectives. - Responsiveness: Understands team priorities. Own, identify and quick turn around for production issues that address the root cause. - Designing: Low level design, functional modeling, Adaptability, High level design with guidance - Analysis: Understanding impact of design changes - Non Functional Attributes: Understands the basic concepts around performance and can contribute to measuring and improving performance. Understands scalability - Data Orientation: Apply algorithms to make smarter and intelligent data driven systems, Good understanding and know hows of various data tools/tech (e.g. Data Tools, IR and ML tools)

Gurgaon/Gurugram

CogniTensor - Data Scientist 

CogniTensor - Data Scientist  ,Job Description for CogniTensor - Data Scientist  in CHT Sapiense in  Gurgaon/Gurugram for (3-4) years of experience. Apply Now!

Job Description for CogniTensor - Data Scientist  in CHT Sapiense in  Gurgaon/Gurugram for (3-4) years of experience. Apply Now!