Data Scientist
23 hours ago
At Northwestern Mutual, we are a strong, innovative, and growing organization that invests in our people and makes a positive difference. We are seeking a highly skilled and motivated Natural Language Processing (NLP) Data Scientist with a focus on fine-tuning Large Language Models (LLMs) to join our innovative team.
Job Summary:We are looking for a talented Data Scientist to lead our NLP team and drive innovation in fine-tuning LLMs. The ideal candidate will have a solid background in NLP, deep learning, and machine learning, with expertise in fine-tuning LLMs to solve complex language understanding and generation tasks.
Key Responsibilities:- Research and design pioneering NLP algorithms with a focus on fine-tuning LLMs, including BERT, GPT, and their variants.
- Develop custom fine-tuning strategies and techniques to optimize performance on specific language tasks and domains. Collaborate with cross-functional teams to integrate fine-tuned LLM solutions into our products and services.
- Stay up-to-date with the latest advancements in NLP, LLMs, and AI technologies, particularly in fine-tuning methodologies.
- Analyze and interpret experimental results to guide decision-making and improve model performance.
- Apply creative problem-solving and inter-departmental networking to address data and information needs across the enterprise.
- Share proven techniques with peers through coaching and mentoring around core methodologies, patterns, standards, and processes.
- Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes.
- Through extensive analysis, discover technology improvement opportunities and work with other teams to address these opportunities.
- Master's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
- 6-8 years of professional experience.
- At least 6 years of professional data science or analytics experience.
- Good background in NLP, deep learning, and machine learning, with experience in fine-tuning LLMs.
- Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
- Experience with popular NLP frameworks and libraries (e.g., Hugging Face Transformers, AllenNLP).
- Solid understanding of linguistics, semantics, and syntactic structures.
- Extensive experience working with data and developing, designing, and presenting analytics, including some programming experience and work with multiple databases.
- Knowledge of software engineering leading practices, including version control and testing methodologies.
- Guide-level knowledge of sophisticated analytical model development and construction.
- Comfort with questioning assumptions, demonstrable relational analysis, and integration of all components needed to solve problems.
- Demonstrable ability to build rapport, negotiate, gain the confidence of others, and work successfully with business leaders across the company.
- Experience leading the way we make decisions through idea sharing and consensus building.
- Experience in coaching and mentoring staff members.
- Proven track record in meeting ambitious deadlines.
- Identifying data requirements for analytical needs.
- Advanced/PhD degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field preferred.
- Familiarity with cloud computing platforms and distributed computing environments (i.e., GDP, Azure, AWS) preferred.
Pay Range - Start: $121,030.00
Pay Range - End: $224,770.00
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