Require a Data Scientist QA Automation in Gurugram
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Experience Required:
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Job Summary
- Develop and execute data strategies in the absence of established playbooks leveraging creative problem-solving to deliver innovative solutions.
- Translate business requirements into technical plans and deliver results that drive strategic decision-making.
- Lead the design deployment and optimization of supervised and unsupervised machine learning models.
- Conduct training and enablement sessions for end users on data science and analytics technologies.
- Work extensively with large complex datasets using Python and SQL to extract insights and support business objectives.
- Collaborate with senior stakeholders across business and technical teams contributing effectively in both strategic and technical forums.
- Ensure model performance scalability and maintainability through continuous monitoring and refinement.
Creative solutioning skills able to formulate and execute a strategy where a playbook may not exist.
Experience in influencing senior stakeholders; you should be as comfortable contributing to a business meeting as a technical one. You will be the key person in translating business requirements into technical plans and delivering results back into the business.
Experience training end users in data science and analytics technologies
Experience on Python SQL and strong ability to work with large and complex data.
Hands-on experience on supervised/unsupervised models along with Model design deployment and optimization.
Desirable skillsets/ good to have:
Recognised degree/ certification in STEM discipline
Experience working with Spark Alteryx Tableau/Power BI and Cloud based platform.
Strong verbal and written communication skills and ability to interface with Business and CCO teams.
Required Skills:
Qualification: Bachelors/ Masters degree Experience: Freshers Bachelors or Masters degree in a relevant field Freshers with strong academic performance and a proactive attitude Proficiency in Microsoft Office Suite and basic data management tools Excellent communication and interpersonal skills Ability to learn quickly and adapt to evolving priorities
