Senior Data Scientist, AI Innovation Leader
7 days ago
Data is the core of our operations. With a vision to continue pushing boundaries, we're seeking an experienced Senior Data Scientist to lead our AI Innovation Team. In 1988, we revolutionized the credit card industry by applying statistical modeling and relational databases to create personalized offers. Our passion for data has propelled us to become a Fortune 200 company and a leader in data-driven decision-making.
We're at the forefront of the next wave of disruption, leveraging cutting-edge computing and machine learning technologies to unlock opportunities that enhance everyday people's financial lives. As a member of our team, you'll work with seasoned specialists in natural language processing (NLP), speech recognition, computer vision, and generative AI. Together, we'll experiment with emerging technologies, develop software, and contribute research to top-tier NLP conferences.
The ideal candidate will be responsible for:
- Training and fine-tuning large language models across multiple modalities—text, speech, and vision—for use in downstream applications like dialogue and image processing.
- Partnering with a cross-functional team to deliver high-quality products that meet customer expectations.
- Leveraging a broad stack of technologies—PyTorch, Hugging Face, Spark, LangChain, and more—to uncover insights within vast amounts of numeric and textual data.
- Building machine learning models through all phases of development, from design to training, evaluation, validation, and implementation.
- Contributing research to leading NLP conferences such as ACL and EMNLP.
To succeed in this role, you'll need:
- Innovative thinking: Continuously researching and evaluating emerging technologies and applying them to drive business growth.
- Creativity: Bringing definition to complex problems and pushing hard to find solutions.
- Technical expertise: Proficiency in open-source languages and experience developing data science solutions using cloud computing platforms.
- Statistical acumen: Building, validating, and backtesting models; interpreting confusion matrices and ROC curves; and experience with clustering, classification, sentiment analysis, time series, and deep learning.
This role comes with a competitive salary package, with an estimated annual compensation range of $201,400 - $229,900 for this position. We also offer a comprehensive benefits package, including health insurance, retirement plans, and other perks. If you're passionate about driving innovation and making a meaningful impact, we encourage you to apply.
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