Lead Data Scientist

3 days ago

Milwaukee, Wisconsin, United States Northwestern Mutual Full time
Job Title: Lead Data Scientist

At Northwestern Mutual, we are committed to innovation and growth. We invest in our people and strive to make a positive impact.

We are seeking a highly skilled and motivated Data Scientist with expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our team. The ideal candidate will have a solid background in NLP, deep learning, and machine learning, with experience in fine-tuning LLMs to solve complex language understanding and generation tasks.

Key Responsibilities:
  • Design and implement 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.
Requirements:
  • Master's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or 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 related field preferred.
  • Familiarity with cloud computing platforms and distributed computing environments (i.e., GDP, Azure, AWS) preferred.
Compensation Range:

Pay Range - Start: $121,030.00

Pay Range - End: $224,770.00

We offer a competitive compensation package and opportunities for growth and development. If you are a motivated and experienced Data Scientist with a passion for NLP and LLMs, we encourage you to apply for this exciting opportunity.

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