Senior Data Scientist The Senior Data Scientist solves complex problems to support key business priorities, by understanding business the goals, objectives, and KPI’s, developing innovative AI/ML models and algorithms, partnering with engineers do deliver end-to-end solutions. Key Responsibilities and Duties Research and develop novel AI/ML models and solutions to support key enterprise goals. Have a good understand of the business problems, mains objectives, relevant KPI’s and success metrics. Connect with business stakeholder to understand, define and collaborate on end-to-end execution of the initiatives. Have a great understanding of ML algorithms, deep learning, gradient boosting, tree-based, ensemble, bayesian, clustering; including supervised, unsupervised and reinforcement learning techniques. Ensures performance, quality and usage of proper metrics to deliver high quality AI/ML models. Communicates insights from analyses to management in order to enable data driven decision making to improve business performance and operational outcomes based on machine learning and statistical analysis results. Researches existing and emerging data science principles, theories and techniques to keep up to date with new development in AI/ML. Reviews the AI/ML modeling, statistical analysis, and data analysis completed by lower level Data Scientists, providing coaching and feedback as needed. Qualifications 5 Years Required; 7 Years Preferred University (Degree), Preferred Physical Requirements Physical Requirements: Sedentary Work Preferred Education University (Degree) Career Level 8IC Required: 5 or more years of experience as a data scientist in industry or academia Understanding of state of the art predictive modeling algorithms and statistical modeling techniques Knowledge and experience on deep learning and NLP End-to-end experience of applying novel data science technologies to real world applications from ideation to deployment A value story teller with strong communication skills to non-tech audience Experience with cloud-based data and data science platforms such as AWS SageMaker and GCP Proficient in Statistical/ML programming languages and tools (Python, R, Karas/TensorFlow and etc.) Preferred: MS or PhD degree in STEM with a focus area in machine learning, statistical modeling or optimization Strong business acumen and problem solving skills 7 years of experience as a data scientist in industry or academia Expert knowledge in deep learning and NLP Experience and application domain knowledge of financial asset management or customer experience optimization Experience in an innovation team with proven track record of coming up with new ideas and developing/validating new technology solutions in a methodically into production Potential Salary: $146,050.00 USD Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans). _____________________________________________________________________________________________________ Company Overview TIAA is the leading provider of financial services in the academic, research, medical, cultural and government fields. We offer a wide range of financial solutions, including investing, banking, advice and education, and retirement services. COVID-19 Vaccination TIAA requires all U.S. employees to be fully vaccinated against COVID-19 and provide documentation of full vaccination, unless you qualify for an accommodation as determined by TIAA consistent with applicable law. Benefits and Total Rewards The organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That’s why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary. Equal Opportunity We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status. Read more about the Equal Opportunity Law here. 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