• 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.

• University (Degree) Preferred

• 5+ Years Required; 7+ Years Preferred

• Physical Requirements: Sedentary Work

• Experience: Total 8-10 Year, 4+ years relevant to Data Science

• Required Skills:
  • Python and SQL proficiency
  • Machine learning (Decision Trees, SVM, GBMs, regression)
  • Deep learning frameworks (TensorFlow, Keras, PyTorch)
  • Libraries: scikit-learn, XGBoost
  • Databricks/Spark and Snowflake experience
  • MLflow
  • AWS SageMaker or similar deployment platforms
  • Tableau for visualization

• Preferred Skills/Good to have skills:
  • Advance analytics acumen + LLM knowledge good to have
  • Prompt and context engineering

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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.

Our Culture of Impact

At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger.

Accessibility Support

TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.

If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: 

Phone: (800) 842-2755

Email: [email protected]

Privacy Notices

For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here.

For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here.

For Applicants of TIAA Global Capabilities, click here.

For Applicants of Nuveen residing in Europe and APAC, please click here.