Data Scientist
About The Position
We are looking for a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems. It offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources. We seek applicants from all areas of computer science, machine learning, data mining, optimization and related technical fields with a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes. As part of a high-caliber team of researchers and practitioners, you will work closely with business stakeholders and leverage advanced AI/ML tools and platforms to solve a variety of business problems. You will be responsible for developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization and customer insights.
Requirements
- Master's or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline
- 7 years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields
- Experience in unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, graph-based learning techniques
- Experience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs
- Experience in formulating and solving optimization problems
- Knowledge of model evaluation, tuning, performance measurement, deployment and solution scalability
- Strong verbal/written communication and presentation skills, including the ability to effectively communicate with both business and technical teams
Nice To Haves
- Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting
- Experience working with knowledge graph, graph-based learning approaches
- Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)
Responsibilities
- Developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization and customer insights.
Benefits
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
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What This Job Offers
Job Type
Full-time
Career Level
Senior
