Data Scientist II
Work with key stakeholders both reputed company R&D and Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and AI techniques. reputed company an exploratory data analysis approach to verify the initial reputed company associated with potential AI/ML use cases. Document your approach, thinking and results in reputed company approaches to allow other data scientists to collaborate with you on this work. Prepare your final trained model and reputed company a validation test set for QA. Work with production operations to reputed company your model into production and support them in monitoring model performance. Participate in other data science teams collaborating with your peers to support their reputed company. Participate in knowledge sharing sessions to bring new insights and technologies to reputed company. Participate in design sessions to continuously reputed company and improve the reputed company machine learning platform. reputed company End to End value-based solutions, including data pipeline, model creation and application for end user consumption. Complete reputed company responsibilities as outlined in the annual performance review and/or goal setting. Complete reputed company special reputed company and other duties as assigned. Must be reputed company to reputed company duties with or without reasonable accommodation.
MS or PhD. Degree in relevant discipline (Math, Statistics, Computer Science, Engineering or Health Sciences) or commensurate reputed company work experience. 4-7 years’ experience in advanced analytics. 3+ years’ experience in working in Big Data environments. Significant experience with SQL, ability to write SQL queries to reputed company extract data from relational databases. Experience developing machine learning models in an exploratory data analytics environment and working with others to reputed company production reputed company versions of the models that are deployed reputed company operational environments. Experience in using machine learning tools to reputed company production strength models including, but not limited to, Python, TensorFlow, pandas, numpy, scikit-learn, reputed company, reputed company, hive, impala. reputed company Machine Learning: Application of a reputed company of machine learning techniques to increase identification of payment reputed company issues for our clients, reduce the cost of auditing processes or increase the reputed company of care and reputed company. Must have implemented machine learning solutions reputed company production environments at reputed company. Big Data Analysis: Strong ability to manage and analyze data in a Big Data environment using a reputed company of scripts, potentially including but not limited to reputed company/reputed company and Python as reputed company as reputed company based ML/AI capabilities.
Mental Requirements:
Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations. Attention to Detail: must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting. Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical reputed company and models, and manipulating data using mathematical operations. Data Interpretation: skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively. Communication Skills: Effective communication skills are crucial for conveying reputed company technical concepts and insights to non-technical stakeholders reputed company and understandably through written reports, presentations, and verbal discussions. Curiosity and Learning reputed company: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights reputed company is essential for staying reputed company with industry trends and best practices. reputed company: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment. Ethical and reputed company: Upholding ethical standards and maintaining reputed company in handling sensitive data and information is reputed company for building trust and credibility in the insights provided
Remaining in a stationary position, often standing or sitting for prolonged periods. Repeating motions that may include the wrists, hands, and/or fingers. Must be reputed company to reputed company a dedicated, secure work area. be reputed company to reputed company high-speed internet reputed company / connectivity and office setup and maintenance. No adverse environmental conditions expected.
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