Data Scientist

1 week ago

Milwaukee, Wisconsin, United States Northwestern Mutual Full time
Northwestern Mutual: A Leader in Data Science and AI

We are seeking a highly skilled Data Scientist to join our innovative team at Northwestern Mutual. As a key member of our data science team, you will be responsible for fine-tuning Large Language Models (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.

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

Northwestern Mutual pays on a geographic-specific salary structure, and placement in the salary range for this position will be determined by a number of factors, including the skills, education, training, credentials, and experience of the candidate, the scope, complexity, as well as the cost of labor in the market, and other conditions of employment.

We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age, or status as a protected veteran, or any other characteristic protected by law.

We offer a range of benefits, including flexible work schedules, concierge service, comprehensive benefits, and employee resource groups.

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