Talantix.io
American Express•09.03.26
AI SCORE 8.5

Manager - Data Science (NLP & Generative AI) - Remote

$120K–$150K/year
RemoteFinTech
NLP•Machine Learning•Generative AI•Deep Learning•Agile Project Management•LLM

About the Role

Join American Express as a Manager in Data Science, specializing in NLP and Generative AI. This remote role offers you the chance to lead innovative projects that enhance customer experiences and drive business success.

What You'll Do

  • Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
  • Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities.
  • Foster a culture of innovation by staying abreast of the latest trends in AI and NLP.
  • Manage project timelines, resources, and deliverables using agile methodologies.
  • Collaborate with the Technology team to integrate NLP solutions into existing systems.

Requirements

  • Ph.D. in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
  • Extensive experience in machine learning, NLP, and Generative AI.
  • Proven expertise in applying deep learning and NLP techniques to solve complex problems.
  • Solid understanding of Large Language Models and practical experience with Generative AI.
  • Excellent communication and leadership skills.

Nice to Have

  • Experience with cloud platforms (AWS, Azure).
  • Familiarity with big data technologies (Hadoop, Spark).
  • Knowledge of additional programming languages (Java, Scala).

What We Offer

  • Competitive base salaries and bonus incentives.
  • Comprehensive medical, dental, vision, life insurance, and disability benefits.
  • Flexible working model with hybrid, onsite, or virtual arrangements.
  • Generous paid parental leave policies.
  • Free access to global on-site wellness centers.
  • Career development and training opportunities.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This remote Manager role at American Express offers an exciting opportunity to lead innovative data science projects in NLP and Generative AI, with competitive compensation and comprehensive benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Expertise in NLP frameworks such as SpaCy and Hugging Face Transformers, coupled with a strong understanding of generative AI models like GPT and BERT, to effectively lead projects that enhance customer experiences.

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Proven experience in Agile project management methodologies, allowing for the successful coordination of cross-functional teams and timely delivery of data-driven solutions in a remote work environment.

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A strong research-oriented mindset with a track record of deploying machine learning solutions at scale, demonstrating the ability to innovate and adapt in a fast-evolving technology landscape.

Learning Resources

→Natural Language Processing with Transformerscourse
→Deep Learning for NLP with Pytorchcourse
→Generative AI: A Primerarticle

Career Path

Manager - Data Science (NLP & Generative AI)(Now)→Director of Data Science(2-4 years)→Chief Data Officer(5-7 years)

Market Overview

Market Size 2024
$36.7B
Annual Growth
21.2%
AI Adoption in NLP
75%
Investment in Generative AI
+150%
Labour Demand for Data Science Roles
+30%
Avg Salary for Senior Data Science Manager
$145K

Skills & Requirements

Required
NLPMachine LearningGenerative AI
Growing in Demand
TransformersExplainable AI (XAI)Data Visualization (Tableau, Power BI)
Declining
Traditional Statistical Analysis (SPSS)Rule-Based NLP Systems (e.g., Expert Systems)

Domain Trends

Rise of Large Language Models (LLMs)
The adoption of LLMs like GPT-4 has surged, with a 200% increase in companies deploying them for various applications.
Focus on Ethical AI
Organizations are increasingly prioritizing ethical AI practices, with 68% of companies implementing guidelines for responsible AI usage.
Integration of NLP in Business Processes
NLP applications in customer service and automation have grown by 40%, significantly enhancing operational efficiency.

Industry News

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