Data Scientist - Python

As a Data Scientist at TransOrg Analytics, you will have the opportunity to be part of a team that specializes in Data Science, Data Engineering, and Generative AI. We provide advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC, and the Middle East. Our focus is on leveraging data science to streamline, optimize, and accelerate our clients" businesses. We are looking for individuals who have a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. The ideal candidate should have 3-5 years of relevant experience in data analysis or a related role. Proficiency in data pre-processing and manipulation using Python or SQL is required. Additionally, experience in statistical analysis and modeling techniques such as regression, classification, and clustering is essential. Experience with machine learning and deep learning frameworks and libraries is a plus. Familiarity with data processing tools and frameworks, as well as data visualization tools like Tableau or Power BI, is highly desirable. The successful candidate should have a proven track record of managing data project delivery, meeting deadlines, managing stakeholder expectations, and producing clear deliverables. Strong problem-solving skills with a keen attention to detail are crucial for this role. The ability to think critically and provide data-backed insights is key. Excellent communication skills, both verbal and written, are necessary to effectively collaborate with team members and stakeholders. An understanding of Cloud Platforms such as Azure, AWS, or GCP is beneficial, along with the ability to utilize them for developing, training, and testing deep learning models. Familiarity with cloud-based data warehousing platforms like Snowflake is also advantageous. If you are passionate about data science, analytics, and driving business impact through data-driven insights, we invite you to explore the opportunity of joining our team at TransOrg Analytics. Visit our website at www.transorg.com to learn more about us and our work.,