Senior Specialist - Data Scientist - IN
The role is responsible for developing large scale & high impact analytical / data science products to understand & derive insights from structured & unstructured data using scientific methods, processes, algorithms and systems.
Key Responsibilities and Duties
- They build metaheuristic algorithms to derive optimal data insights, multi level forecasting algorithms to predict user trends and are responsible for implementation of end to end data science products.
- They should have extensive knowledge & experience of Data & Machine Learning Algorithms (such as Decision Trees, SVM, GBMs, Topic Modelling, Regression), Deep Learning algorithms (such as CNN, RNN & LSTMs) and statistical libraries (such as TensorFlow, Keras, Pytorch, etc.).
- They should have hands on experience on techniques such as user profiling, optimization, pattern mining / detection, classification / regression modelling, recommender systems & deep learning models etc.
Educational Requirements
- University (Degree) Preferred
Work Experience
- 5+ Years Required; 7+ Years Preferred
Physical Requirements
- Physical Requirements: Sedentary Work
Career Level
8IC
Related Skills
Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics
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Company Overview
TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.
We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.
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Phone: (800) 842-2755
Email: [email protected]
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